📰 Weekly AI news roundup: Check the comments to dive deeper
Weights & Biases
Software Development
San Francisco, California 72,176 followers
The AI developer platform.
About us
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.
- Website
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https://wandb.ai/site
External link for Weights & Biases
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2017
- Specialties
- deep learning, developer tools, machine learning, MLOps, GenAI, LLMOps, large language models, and llms
Products
Weights & Biases
Machine Learning Software
Weights & Biases helps AI developers build better models faster. Quickly track experiments, version and iterate on datasets, evaluate model performance, reproduce models, and manage your ML workflows end-to-end.
Locations
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Primary
400 Alabama St
San Francisco, California 94110, US
Employees at Weights & Biases
Updates
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Join Stephen Balaban, CEO & Co-Founder of Lambda, and host Lukas Biewald on #GradientDissent. Explore why NVIDIA remains the top choice in AI hardware and why companies like Lambda Labs continue to rely on their superior products. 𝐋𝐢𝐬𝐭𝐞𝐧 🎧 𝐨𝐫 𝐰𝐚𝐭𝐜𝐡 🎥 𝐧𝐨𝐰: http://lnk.to/Bzc3xl
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Weights & Biases reposted this
📸 Did you know that Weights & Biases Weave lets you log images within your traces? 🦾 This powerful feature lets you easily trace and evaluate your multi-modal LLM applications. Here's an example showcasing the use of Weave to trace a simple multi-modal workflow using an OpenAI call to evaluate a 🤗 Diffusers pipeline inference 👉 wandb.me/multi-modal
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Weights & Biases reposted this
Illustrated Chain of Density Working to make the prompts right so that information is appropriately passed between iteration levels was such a pain. Add in the fact we have images to deal with 💀 Honestly really glad I was able to track everything with just a `weave.op()` decorator. Learn more about weave at: wandb.me/weave Read the article at: https://lnkd.in/exkv64r5
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Tune in tomorrow for the latest episode of #GradientDissent, where host Lukas Biewald is joined by Stephen Balaban, Co-Founder & CEO of Lambda. Balaban shares how Lambda scaled to $1.2B and discusses the future of GPU technology and AI data centers. Discover the challenges and triumphs of running a successful AI hardware and cloud business. Subscribe: https://lnk.to/_subscribe_
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Picture this: you've fine-tuned a model for code generation, and it's been running in production for a month. Suddenly, you discover that PRs are failing due to deprecated methods. Manual inspection reveals hallucinated code using outdated methods, causing major issues. On August 6, 2024, join Weights & Biases and Groq, where we will explore rigorous testing frameworks to detect hallucinations and outdated code in LLM-generated code, preventing such failures. We'll discuss optimizing LLM performance for code validation. This includes managing context length limitations and using Groq's advanced inference capabilities to improve the accuracy and reliability of your code generation models. We also discuss Weights & Biases' wandb.me/weave for seamless monitoring and evaluation of LLM-generated code, especially with the integration with Groq (https://lnkd.in/gRBeXQVi). We'll walk through Weave's capabilities for continuous validation, ensuring your LLM assistants consistently produce up-to-date and robust code. Register now: https://lnkd.in/gj-2qvcz
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Heejin Jeong, Principal AI Product Manager at Together AI, shares how Weights & Biases transformed their AI experimentation and communication. Discover how W&B enhances productivity and team collaboration. Watch the full video here: https://lnkd.in/eSeUiXw5
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Ever faced a complex math problem that seems impossible to communicate to your LLM? Discover how structural prompting can turn these challenges into manageable steps. https://lnkd.in/gTDfJsNi
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In our latest video, Weights & Biases, LLM Engineer Thomas Capelle demonstrates building a workflow with Automations optimizing a 7B parameter LLama2 model to a more efficient 1.5B variant. Learn how W&B Automations streamlines experiments that require large-scale training workflows. Watch here: https://lnkd.in/gk7WgAJ7
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Introducing Eris v0.1: LLM evaluation framework using debate simulations. Developed with OpenRouter and W&B Weave, Eris assesses models on reasoning, knowledge, and communication through structured debates. See how it performs and future plans: Read more: https://lnkd.in/gBDYgXhq
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