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Weights & Biases

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40 reseñas
  • Perfiles de 1
  • Categorías de 1
Calificación promedio de estrellas
4.7
Atendiendo a clientes desde
2017
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GL
Gaspard L.
04/09/2024
Revisor validado
Usuario actual verificado
Fuente de la revisión: Orgánico
Traducido Usando IA

Me gusta la facilidad de configuración, no conozco ninguna alternativa viable, odio la lentitud y los numerosos errores.

Es fácil, puedo ver una vista previa de los resultados en vivo, todos los gráficos se realizan de manera automática e inteligente. Es un gran ahorro de tiempo.
YC
Yann C.
04/09/2024
Revisor validado
Fuente de la revisión: Orgánico

Easy-to-setup model logging product

It is very quick to get started with logging models and performance to wandb, implementation and integration are readily intuitive and straightforward. There are some useful available features such as model sweeping and other filtering/grouping mechanisms with runs logged in a given project. Whenever I need to keep track of ML model performance, I use wandb.
Shaked H.
SH
Shaked H.
02/28/2024
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Usuario actual verificado
Fuente de la revisión: Orgánico

great tool for tracking experiments

i use it as my single point of knowledge for all my experiments results, including model weights, configs, false analysis etc

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San Francisco, California, United States

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What is Weights & Biases?

Weights & Biases: the AI developer platform.Build better models faster, fine-tune LLMs, develop GenAI applications with confidence, all in one system of record developers are excited to use. W&B Models is the MLOps solution used by foundation model builders and enterprises who are training, fine-tuning, and deploying models into production. W&B Weave is the LLMOps solution for software developers who want a lightweight but powerful toolset to help them track and evaluate LLM applications.Weights & Biases is trusted by over a 1,000 companies to productionize AI at scale including teams at OpenAI, Meta, NVIDIA, Cohere, Toyota, Square, Salesforce, and Microsoft. Sign up for a 30-day free trial today at http://wandb.me/trial.

Details

Año de fundación
2017