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Best Large Language Models (LLMs) Software for for Small Business

Matthew Miller
MM
Researched and written by Matthew Miller

Products classified in the overall Large Language Models (LLMs) category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Large Language Models (LLMs) to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Large Language Models (LLMs) category.

In addition to qualifying for inclusion in the Large Language Models (LLMs) Software category, to qualify for inclusion in the Small Business Large Language Models (LLMs) Software category, a product must have at least 10 reviews left by a reviewer from a small business.

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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13 Listings in Small Business Large Language Models (LLMs) Available

(164)4.4 out of 5
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DeepMind's Gemini is a suite of advanced AI models and products, designed to push the boundaries of artificial intelligence. It represents DeepMind's next-generation system, building on the foundation

    Users
    • Research Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 42% Mid-Market
    • 38% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Gemini Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Useful
    111
    Ease of Use
    90
    Helpful
    51
    Performance Improvement
    36
    Features
    34
    Cons
    AI Limitations
    52
    Inaccuracy
    33
    Usage Limitations
    27
    Context Understanding
    26
    Inaccurate Responses
    25
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Gemini features and usability ratings that predict user satisfaction
    8.5
    Quality of Support
    Average: 8.4
    8.3
    Content Moderation
    Average: 8.3
    8.3
    Contextual Understanding
    Average: 8.5
    7.7
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,520,271 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DeepMind's Gemini is a suite of advanced AI models and products, designed to push the boundaries of artificial intelligence. It represents DeepMind's next-generation system, building on the foundation

Users
  • Research Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 42% Mid-Market
  • 38% Small-Business
Gemini Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Useful
111
Ease of Use
90
Helpful
51
Performance Improvement
36
Features
34
Cons
AI Limitations
52
Inaccuracy
33
Usage Limitations
27
Context Understanding
26
Inaccurate Responses
25
Gemini features and usability ratings that predict user satisfaction
8.5
Quality of Support
Average: 8.4
8.3
Content Moderation
Average: 8.3
8.3
Contextual Understanding
Average: 8.5
7.7
Bias Mitigation
Average: 8.1
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,520,271 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
(146)4.3 out of 5
3rd Easiest To Use in Large Language Models (LLMs) software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Experience the state-of-the-art performance of Llama 3, an openly accessible model that excels at language nuances, contextual understanding, and complex tasks like translation and dialogue generation

    Users
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 58% Small-Business
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Meta Llama 3 Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Accuracy
    36
    Ease of Use
    31
    Speed
    29
    Open-Source
    26
    Helpful
    23
    Cons
    Limitations
    26
    Slow Performance
    18
    Poor Response Quality
    16
    Inaccuracy
    13
    Limited Understanding
    11
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Meta Llama 3 features and usability ratings that predict user satisfaction
    7.1
    Quality of Support
    Average: 8.4
    6.7
    Content Moderation
    Average: 8.3
    8.3
    Contextual Understanding
    Average: 8.5
    6.3
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2008
    HQ Location
    Menlo Park, CA
    Twitter
    @Meta
    13,715,206 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    119,009 employees on LinkedIn®
    Ownership
    NASDAQ: META
Product Description
How are these determined?Information
This description is provided by the seller.

Experience the state-of-the-art performance of Llama 3, an openly accessible model that excels at language nuances, contextual understanding, and complex tasks like translation and dialogue generation

Users
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 58% Small-Business
  • 24% Mid-Market
Meta Llama 3 Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Accuracy
36
Ease of Use
31
Speed
29
Open-Source
26
Helpful
23
Cons
Limitations
26
Slow Performance
18
Poor Response Quality
16
Inaccuracy
13
Limited Understanding
11
Meta Llama 3 features and usability ratings that predict user satisfaction
7.1
Quality of Support
Average: 8.4
6.7
Content Moderation
Average: 8.3
8.3
Contextual Understanding
Average: 8.5
6.3
Bias Mitigation
Average: 8.1
Seller Details
Year Founded
2008
HQ Location
Menlo Park, CA
Twitter
@Meta
13,715,206 Twitter followers
LinkedIn® Page
www.linkedin.com
119,009 employees on LinkedIn®
Ownership
NASDAQ: META

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(61)4.6 out of 5
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GPT-3 powers the next generation of apps Over 300 applications are delivering GPT-3–powered search, conversation, text completion, and other advanced AI features through our API.

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 57% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • GPT3 Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    25
    Text Generation
    20
    Content Creation
    18
    Accuracy
    11
    Helpful
    10
    Cons
    Context Understanding
    10
    Outdated Information
    8
    Inaccurate Responses
    7
    Repetitive
    7
    Hallucinations
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GPT3 features and usability ratings that predict user satisfaction
    8.6
    Quality of Support
    Average: 8.4
    8.4
    Content Moderation
    Average: 8.3
    8.7
    Contextual Understanding
    Average: 8.5
    7.8
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenAI
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @OpenAI
    3,972,668 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,933 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

GPT-3 powers the next generation of apps Over 300 applications are delivering GPT-3–powered search, conversation, text completion, and other advanced AI features through our API.

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 57% Small-Business
  • 30% Mid-Market
GPT3 Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
25
Text Generation
20
Content Creation
18
Accuracy
11
Helpful
10
Cons
Context Understanding
10
Outdated Information
8
Inaccurate Responses
7
Repetitive
7
Hallucinations
6
GPT3 features and usability ratings that predict user satisfaction
8.6
Quality of Support
Average: 8.4
8.4
Content Moderation
Average: 8.3
8.7
Contextual Understanding
Average: 8.5
7.8
Bias Mitigation
Average: 8.1
Seller Details
Seller
OpenAI
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@OpenAI
3,972,668 Twitter followers
LinkedIn® Page
www.linkedin.com
1,933 employees on LinkedIn®
(54)4.4 out of 5
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BERT, short for Bidirectional Encoder Representations from Transformers, is a machine learning (ML) framework for natural language processing. In 2018, Google developed this algorithm to improve conte

    Users
    • Data Scientist
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 54% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • BERT Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Performance Improvement
    15
    Accuracy
    14
    Ease of Use
    12
    Natural Language Processing
    12
    Contextual Understanding
    10
    Cons
    High Computational Demand
    16
    Technical Issues
    11
    Improvement Needed
    10
    High Resource Consumption
    6
    Bias
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • BERT features and usability ratings that predict user satisfaction
    8.4
    Quality of Support
    Average: 8.4
    8.1
    Content Moderation
    Average: 8.3
    8.1
    Contextual Understanding
    Average: 8.5
    7.9
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,520,271 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

BERT, short for Bidirectional Encoder Representations from Transformers, is a machine learning (ML) framework for natural language processing. In 2018, Google developed this algorithm to improve conte

Users
  • Data Scientist
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 54% Small-Business
  • 30% Mid-Market
BERT Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Performance Improvement
15
Accuracy
14
Ease of Use
12
Natural Language Processing
12
Contextual Understanding
10
Cons
High Computational Demand
16
Technical Issues
11
Improvement Needed
10
High Resource Consumption
6
Bias
5
BERT features and usability ratings that predict user satisfaction
8.4
Quality of Support
Average: 8.4
8.1
Content Moderation
Average: 8.3
8.1
Contextual Understanding
Average: 8.5
7.9
Bias Mitigation
Average: 8.1
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,520,271 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
Ownership
NASDAQ:GOOG
(42)4.6 out of 5
View top Consulting Services for GPT4
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GPT-4o is our most advanced multimodal model that’s faster and cheaper than GPT-4 Turbo with stronger vision capabilities. The model has 128K context and an October 2023 knowledge cutoff.

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 57% Small-Business
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • GPT4 Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Helpful
    12
    Ease of Use
    11
    Content Creation
    10
    Performance Improvement
    9
    Knowledge Access
    8
    Cons
    Inaccurate Responses
    6
    Low Accuracy
    6
    Technical Issues
    6
    Expensive
    5
    Lack of Creativity
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GPT4 features and usability ratings that predict user satisfaction
    8.3
    Quality of Support
    Average: 8.4
    8.1
    Content Moderation
    Average: 8.3
    8.8
    Contextual Understanding
    Average: 8.5
    8.1
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenAI
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @OpenAI
    3,972,668 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,933 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

GPT-4o is our most advanced multimodal model that’s faster and cheaper than GPT-4 Turbo with stronger vision capabilities. The model has 128K context and an October 2023 knowledge cutoff.

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 57% Small-Business
  • 26% Mid-Market
GPT4 Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Helpful
12
Ease of Use
11
Content Creation
10
Performance Improvement
9
Knowledge Access
8
Cons
Inaccurate Responses
6
Low Accuracy
6
Technical Issues
6
Expensive
5
Lack of Creativity
5
GPT4 features and usability ratings that predict user satisfaction
8.3
Quality of Support
Average: 8.4
8.1
Content Moderation
Average: 8.3
8.8
Contextual Understanding
Average: 8.5
8.1
Bias Mitigation
Average: 8.1
Seller Details
Seller
OpenAI
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@OpenAI
3,972,668 Twitter followers
LinkedIn® Page
www.linkedin.com
1,933 employees on LinkedIn®
Entry Level Price:Free
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tune AI is the leading Enterprise GenAI stack for securely fine-tuning models & deploying LLM powered apps. Our offerings include: Tune Chat: An AI chat app with 350,000+ users and powerful model

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 75% Small-Business
    • 18% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Tune AI Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    96
    Features
    77
    Useful
    72
    Helpful
    58
    User Interface
    51
    Cons
    Limitations
    29
    AI Limitations
    28
    Usage Limitations
    25
    Missing Features
    23
    Improvement Needed
    22
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tune AI features and usability ratings that predict user satisfaction
    8.3
    Quality of Support
    Average: 8.4
    7.8
    Content Moderation
    Average: 8.3
    8.3
    Contextual Understanding
    Average: 8.5
    7.5
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    San Francisco, US
    Twitter
    @NimbleBoxAI
    467 Twitter followers
    LinkedIn® Page
    in.linkedin.com
    37 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Tune AI is the leading Enterprise GenAI stack for securely fine-tuning models & deploying LLM powered apps. Our offerings include: Tune Chat: An AI chat app with 350,000+ users and powerful model

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 75% Small-Business
  • 18% Mid-Market
Tune AI Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
96
Features
77
Useful
72
Helpful
58
User Interface
51
Cons
Limitations
29
AI Limitations
28
Usage Limitations
25
Missing Features
23
Improvement Needed
22
Tune AI features and usability ratings that predict user satisfaction
8.3
Quality of Support
Average: 8.4
7.8
Content Moderation
Average: 8.3
8.3
Contextual Understanding
Average: 8.5
7.5
Bias Mitigation
Average: 8.1
Seller Details
Year Founded
2018
HQ Location
San Francisco, US
Twitter
@NimbleBoxAI
467 Twitter followers
LinkedIn® Page
in.linkedin.com
37 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    First introduced in 2019, Megatron sparked a wave of innovation in the AI community, enabling researchers and developers to utilize the underpinnings of this library to further LLM advancements. Today

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 71% Small-Business
    • 17% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Megatron-LM Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Performance Improvement
    16
    Ease of Use
    8
    Efficiency
    8
    Knowledge Access
    4
    Natural Language Processing
    4
    Cons
    Difficult Learning
    4
    Poor Documentation
    4
    High Resource Consumption
    3
    Bias
    2
    Complex Setup
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Megatron-LM features and usability ratings that predict user satisfaction
    8.5
    Quality of Support
    Average: 8.4
    8.8
    Content Moderation
    Average: 8.3
    8.8
    Contextual Understanding
    Average: 8.5
    8.6
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    NVIDIA
    Year Founded
    1993
    HQ Location
    Santa Clara, CA
    Twitter
    @nvidia
    2,318,432 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    36,197 employees on LinkedIn®
    Ownership
    NVDA
Product Description
How are these determined?Information
This description is provided by the seller.

First introduced in 2019, Megatron sparked a wave of innovation in the AI community, enabling researchers and developers to utilize the underpinnings of this library to further LLM advancements. Today

Users
No information available
Industries
No information available
Market Segment
  • 71% Small-Business
  • 17% Mid-Market
Megatron-LM Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Performance Improvement
16
Ease of Use
8
Efficiency
8
Knowledge Access
4
Natural Language Processing
4
Cons
Difficult Learning
4
Poor Documentation
4
High Resource Consumption
3
Bias
2
Complex Setup
2
Megatron-LM features and usability ratings that predict user satisfaction
8.5
Quality of Support
Average: 8.4
8.8
Content Moderation
Average: 8.3
8.8
Contextual Understanding
Average: 8.5
8.6
Bias Mitigation
Average: 8.1
Seller Details
Seller
NVIDIA
Year Founded
1993
HQ Location
Santa Clara, CA
Twitter
@nvidia
2,318,432 Twitter followers
LinkedIn® Page
www.linkedin.com
36,197 employees on LinkedIn®
Ownership
NVDA
(508)4.5 out of 5
1st Easiest To Use in Large Language Models (LLMs) software
View top Consulting Services for Crowdin
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16% off: $210/month
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Crowdin is an AI-powered localization software for teams. Connect 600+ tools to translate your content. Create and manage all your multilingual content in one place. Localize your apps, software, w

    Users
    • Software Engineer
    • CEO
    Industries
    • Computer Software
    • Computer Games
    Market Segment
    • 58% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Crowdin Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    224
    Translation Services
    137
    Translation
    117
    Customer Support
    109
    Easy Integrations
    103
    Cons
    Usability Issues
    91
    Translation Issues
    88
    Integration Issues
    47
    Poor User Interface
    46
    Technical Issues
    45
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Crowdin features and usability ratings that predict user satisfaction
    9.1
    Quality of Support
    Average: 8.4
    7.9
    Content Moderation
    Average: 8.3
    7.5
    Contextual Understanding
    Average: 8.5
    7.6
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Crowdin
    Company Website
    Year Founded
    2008
    HQ Location
    Tallinn
    Twitter
    @crowdin
    2,668 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    120 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Crowdin is an AI-powered localization software for teams. Connect 600+ tools to translate your content. Create and manage all your multilingual content in one place. Localize your apps, software, w

Users
  • Software Engineer
  • CEO
Industries
  • Computer Software
  • Computer Games
Market Segment
  • 58% Small-Business
  • 30% Mid-Market
Crowdin Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
224
Translation Services
137
Translation
117
Customer Support
109
Easy Integrations
103
Cons
Usability Issues
91
Translation Issues
88
Integration Issues
47
Poor User Interface
46
Technical Issues
45
Crowdin features and usability ratings that predict user satisfaction
9.1
Quality of Support
Average: 8.4
7.9
Content Moderation
Average: 8.3
7.5
Contextual Understanding
Average: 8.5
7.6
Bias Mitigation
Average: 8.1
Seller Details
Seller
Crowdin
Company Website
Year Founded
2008
HQ Location
Tallinn
Twitter
@crowdin
2,668 Twitter followers
LinkedIn® Page
www.linkedin.com
120 employees on LinkedIn®
(20)4.2 out of 5
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Transfer learning, where a model is first pre-trained on a data-rich task before being fine-tuned on a downstream task, has emerged as a powerful technique in natural language processing (NLP). The ef

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 70% Small-Business
    • 20% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • T5 Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    10
    Performance Improvement
    6
    Natural Language Processing
    4
    Text Generation
    4
    Customer Support
    3
    Cons
    Technical Issues
    3
    Difficult Learning
    2
    High Computational Demand
    2
    High Resource Consumption
    2
    Improvement Needed
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • T5 features and usability ratings that predict user satisfaction
    8.5
    Quality of Support
    Average: 8.4
    8.2
    Content Moderation
    Average: 8.3
    8.3
    Contextual Understanding
    Average: 8.5
    8.0
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,520,271 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Transfer learning, where a model is first pre-trained on a data-rich task before being fine-tuned on a downstream task, has emerged as a powerful technique in natural language processing (NLP). The ef

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 70% Small-Business
  • 20% Mid-Market
T5 Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
10
Performance Improvement
6
Natural Language Processing
4
Text Generation
4
Customer Support
3
Cons
Technical Issues
3
Difficult Learning
2
High Computational Demand
2
High Resource Consumption
2
Improvement Needed
2
T5 features and usability ratings that predict user satisfaction
8.5
Quality of Support
Average: 8.4
8.2
Content Moderation
Average: 8.3
8.3
Contextual Understanding
Average: 8.5
8.0
Bias Mitigation
Average: 8.1
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,520,271 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
Ownership
NASDAQ:GOOG
By IBM
(71)4.5 out of 5
Optimized for quick response
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI

    Users
    • Consultant
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 35% Mid-Market
    • 35% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM watsonx.ai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    48
    Intuitive
    16
    Model Variety
    16
    Features
    13
    Efficiency
    12
    Cons
    Improvement Needed
    16
    Difficult Learning
    9
    Expensive
    9
    Poor User Interface
    9
    Performance Issues
    8
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM watsonx.ai features and usability ratings that predict user satisfaction
    8.8
    Quality of Support
    Average: 8.4
    8.6
    Content Moderation
    Average: 8.3
    8.4
    Contextual Understanding
    Average: 8.5
    8.2
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    711,154 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI

Users
  • Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 35% Mid-Market
  • 35% Small-Business
IBM watsonx.ai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
48
Intuitive
16
Model Variety
16
Features
13
Efficiency
12
Cons
Improvement Needed
16
Difficult Learning
9
Expensive
9
Poor User Interface
9
Performance Issues
8
IBM watsonx.ai features and usability ratings that predict user satisfaction
8.8
Quality of Support
Average: 8.4
8.6
Content Moderation
Average: 8.3
8.4
Contextual Understanding
Average: 8.5
8.2
Bias Mitigation
Average: 8.1
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,154 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AutoGPT is a generalist LLM based AI agent that can autonomously accomplish minor tasks.

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 63% Small-Business
    • 37% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AutoGPT Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Content Creation
    12
    Text Generation
    8
    Ease of Use
    7
    Performance Improvement
    7
    Helpful
    5
    Cons
    Expensive
    7
    Technical Issues
    7
    Difficult Learning
    4
    Low Accuracy
    4
    Complex Setup
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AutoGPT features and usability ratings that predict user satisfaction
    8.7
    Quality of Support
    Average: 8.4
    8.8
    Content Moderation
    Average: 8.3
    8.9
    Contextual Understanding
    Average: 8.5
    8.7
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenAI
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @OpenAI
    3,972,668 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,933 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

AutoGPT is a generalist LLM based AI agent that can autonomously accomplish minor tasks.

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 63% Small-Business
  • 37% Mid-Market
AutoGPT Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Content Creation
12
Text Generation
8
Ease of Use
7
Performance Improvement
7
Helpful
5
Cons
Expensive
7
Technical Issues
7
Difficult Learning
4
Low Accuracy
4
Complex Setup
3
AutoGPT features and usability ratings that predict user satisfaction
8.7
Quality of Support
Average: 8.4
8.8
Content Moderation
Average: 8.3
8.9
Contextual Understanding
Average: 8.5
8.7
Bias Mitigation
Average: 8.1
Seller Details
Seller
OpenAI
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@OpenAI
3,972,668 Twitter followers
LinkedIn® Page
www.linkedin.com
1,933 employees on LinkedIn®
(31)4.5 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GPT-2 is a transformers model pretrained on a very large corpus of English data in a self-supervised fashion. This means it was pretrained on the raw texts only, with no humans labelling them in any w

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 42% Small-Business
    • 32% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • GPT2 Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Content Creation
    10
    Text Generation
    10
    Ease of Use
    6
    Knowledge Access
    6
    Versatility
    4
    Cons
    Data Inaccuracy
    5
    Inaccurate Responses
    5
    Technical Issues
    4
    Context Understanding
    3
    Outdated Information
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GPT2 features and usability ratings that predict user satisfaction
    8.5
    Quality of Support
    Average: 8.4
    8.5
    Content Moderation
    Average: 8.3
    8.5
    Contextual Understanding
    Average: 8.5
    8.0
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenAI
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @OpenAI
    3,972,668 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,933 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

GPT-2 is a transformers model pretrained on a very large corpus of English data in a self-supervised fashion. This means it was pretrained on the raw texts only, with no humans labelling them in any w

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 42% Small-Business
  • 32% Enterprise
GPT2 Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Content Creation
10
Text Generation
10
Ease of Use
6
Knowledge Access
6
Versatility
4
Cons
Data Inaccuracy
5
Inaccurate Responses
5
Technical Issues
4
Context Understanding
3
Outdated Information
3
GPT2 features and usability ratings that predict user satisfaction
8.5
Quality of Support
Average: 8.4
8.5
Content Moderation
Average: 8.3
8.5
Contextual Understanding
Average: 8.5
8.0
Bias Mitigation
Average: 8.1
Seller Details
Seller
OpenAI
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@OpenAI
3,972,668 Twitter followers
LinkedIn® Page
www.linkedin.com
1,933 employees on LinkedIn®
(86)4.3 out of 5
Optimized for quick response
2nd Easiest To Use in Large Language Models (LLMs) software
Save to My Lists
Entry Level Price:$18.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Writer is the full-stack generative AI platform for enterprises. We empower your people—support, operations, product, sales, HR, marketing, and more—to accelerate growth, increase productivity, and en

    Users
    No information available
    Industries
    • Computer Software
    • Marketing and Advertising
    Market Segment
    • 59% Small-Business
    • 29% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Writer Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    19
    Writing Improvement
    16
    AI Writing Assistance
    13
    Content Creation
    13
    Features
    10
    Cons
    Learning Curve
    7
    Poor Writing Quality
    7
    Lack of Creativity
    6
    Learning Difficulty
    6
    AI Performance
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Writer features and usability ratings that predict user satisfaction
    8.5
    Quality of Support
    Average: 8.4
    9.6
    Content Moderation
    Average: 8.3
    8.7
    Contextual Understanding
    Average: 8.5
    8.3
    Bias Mitigation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Writer
    Company Website
    Year Founded
    2020
    HQ Location
    San Francisco, California
    Twitter
    @Get_Writer
    7,131 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,345 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Writer is the full-stack generative AI platform for enterprises. We empower your people—support, operations, product, sales, HR, marketing, and more—to accelerate growth, increase productivity, and en

Users
No information available
Industries
  • Computer Software
  • Marketing and Advertising
Market Segment
  • 59% Small-Business
  • 29% Mid-Market
Writer Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
19
Writing Improvement
16
AI Writing Assistance
13
Content Creation
13
Features
10
Cons
Learning Curve
7
Poor Writing Quality
7
Lack of Creativity
6
Learning Difficulty
6
AI Performance
5
Writer features and usability ratings that predict user satisfaction
8.5
Quality of Support
Average: 8.4
9.6
Content Moderation
Average: 8.3
8.7
Contextual Understanding
Average: 8.5
8.3
Bias Mitigation
Average: 8.1
Seller Details
Seller
Writer
Company Website
Year Founded
2020
HQ Location
San Francisco, California
Twitter
@Get_Writer
7,131 Twitter followers
LinkedIn® Page
www.linkedin.com
1,345 employees on LinkedIn®