Weights & Biases

Weights & Biases

Software Development

San Francisco, California 75,891 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
https://wandb.ai/site
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

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Employees at Weights & Biases

Updates

  • We launched new tools to the W&B Playground! 🛠️ ⚓️ Trials has been shipped to Playground! (see more info below) ➕ Amazon Web Services (AWS)'s Nova models & xAI's Grok beta LLM are now available. Choosing the best model output often means iteration. Playground trials will save you time by letting you compare multiple results side-by-side before committing to one. This feature really shines when the temperature settings are turned up. 🔥 Allowing you to explore a model’s creativity by generating multiple outputs at once and comparing the diverse responses—all at a glance. The magic doesn’t stop there. 🪄 Once you pick the best output, you can continue your exploration as if that output is how the model would’ve answered. See how the conversation unfolds from your chosen result!

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    75,891 followers

    Evaluating LLMs: A Conversation with Joseph Gonzalez Our CEO and cofounder, Lukas Biewald, recently sat down with Joseph Gonzalez, EECS Professor at UC Berkeley and Co-Founder at RunLLM, to discuss the research he and his team have done on evaluating LLMs. Here are some of the highlights from this conversation: 🔹 Vibes-Based Model Evaluation Joseph introduced the concept of "vibes," which evaluates not just accuracy but also the style of a model’s response—whether it’s friendly, concise, or narrative-driven. This approach is transforming how LLMs are refined for human interaction. 👉 “Correctness is only part of the story—how a model communicates is just as critical. Llama is funnier and friendlier; OpenAI tends to be more formal and tends towards longer responses.” – Joseph Gonzalez 🔹 Chatbot Arena: A Global Benchmark for LLMs Chatbot Arena (lmarena.ai) lets users compare LLMs side-by-side, creating a community-driven leaderboard for open-source and commercial models. Using the Bradley-Terry approach to analyze pairwise comparisons, this initiative segments performance by tasks like creative writing, coding, or instruction following, helping developers optimize workflows for their specific application. 👉 “We want to democratize LLM evaluation—helping developers and the community improve models collaboratively.” – Joseph Gonzalez 🔹 Collaborative AI Evaluation and Development Joseph shared insights on how LLM evaluation is evolving to incorporate human feedback and community input, offering a deeper understanding of model strengths and weaknesses. This participatory approach ensures that LLMs meet user needs across diverse use cases and applications. 👉 “Human preference is about much more than accuracy—it’s about trust, interaction, and experience.” – Joseph Gonzalez 🎥 Check out the full episode to explore Joseph’s insights on advancing LLM evaluation, fostering community collaboration, and refining AI-human interactions. https://lnkd.in/exD3xSui

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    75,891 followers

    As AWS re:Invent 2024 wraps up, don’t miss our final sessions at the Weights & Biases booth! Join us Thursday at Booth 1520: • 10:30 AM PST: “Design, Evaluate, Iterate: Rapid Data Experimentation with Gretel and W&B” • 11:30 AM PST: "Provectus enhances Houzz's recommendation engine search with Weights & Biases" – Colin Murphy, Head of Alliances & Business Development. • 2:30 PM PST: "Fuzer: Advancing Image Generation with Seamless Blending and Full Control" – Saliou Kane (カン) and Ibrahima Kane, cofounders of Fotographer AI. Stop by to connect with our team. 🔗 Learn more: https://wandb.me/aws-24-li

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    75,891 followers

    Day 3 at #reInvent is here, and we’ve got another exciting lineup at the Weights & Biases booth! Stop by for expert talks and live demos showcasing the latest in AI workflows. 📍 Booth 1520 Wednesday Highlights: • 1:30PT: BCG - Generative Engineering: 5x Your Engineering Team with GenAI (Matthew Kropp, CTO) • 3:30 PM PST: Kick Start GenAI Development and Deployment with NVIDIA and Weights &    Biases - Judy Lee, Sr. Manager, Product Marketing, NVIDIA  • 4:30 PM PST: Trace Your Agentic Application: Combining AI21 Labs Jamba LLM and W&B, presented by AI21 - Chen Wang, Lead Solution Architect, AI21 • 5:30 PM PST: Distributed Computing in the GenAI Age, presented by Anyscale - Matt Connor, Growth and Product Lead, Anyscale • 6:30 PM PST: Beyond Demos: Deploying GenAI into Production, presented by Weights & Biases Stop by to connect with our team.  🔗 Learn more: https://wandb.me/aws-24-li

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