Weights & Biases is a developer-first MLOps platform.
Track everything you need to make your models reproducible with Weights & Biases— from hyperparameters and code to model weights and dataset versions.

Weights & Biases helps your ML team unlock their productivity by optimizing, visualizing, collaborating on, and standardizing their model and data pipelines – regardless of framework, environment, or workflow.

Used by ML engineers at OpenAI, Lyft, Pfizer, Qualcomm, NVIDIA, Toyota, GitHub, and MILA, W&B is part of the new standard of best practices for machine learning. W&B is free for personal use and academic projects, and it's easy to get started.

Run your first experiment in 30 seconds with this quick hosted notebook: [bit.ly/intro-wb](http://wandb.me/intro)

NVIDIA

Richard Socher

Trinity Ventures

Bloomberg Beta

Coatue

Insight Partners

Jeff Hammerbacher

Nat Friedman

Pieter Abbeel

Tom Preston-Werner

Bond

Felicis

Sapphire Ventures

Octave

Daniel Gross

Weights & Biases

We’re thrilled to announce that we won Google Cloud Technology Partner of the Year Award for AI and Machine Learning🎉

We’re recognized for using a winning combination of technologies to deliver innovative solutions for AI & ML workloads.

W&B is key to getting the most out of all AI development on GCP, including Vertex AI, Google Kubernetes Engine, and Cloud TPUs.

 Learn more about the W&B & GCP partnership 🔗 https://lnkd.in/dycmsrsr 

 #GoogleCloudPartner

🚀Webinar Alert: Optimizing LLM Apps at Scale - Learnings from Discord!

Join us for our next webinar featuring insights from Discord's Senior Staff Engineer, Ian Webster, and Weights & Biases' ML Engineers, Bharat Ramanathan & Ayush Thakur. 

What You Will Learn:
•Streamline LLM app evaluation & refinement
•Optimize models & prompts within your workflow
•Safeguard your LLM apps & boost development speed
•Choose the right model/prompt, test LLM chains/RAGs, & foster a feedback loop
•Enhance your LLM product's performance through deep-dive evaluations

📅 Date: March 7 | 🕒 Time: 10am PT

👉 Register now to secure your spot:https://lnkd.in/g2bK5GAE

What a fantastic time in London with Run:ai! 🇬🇧 

Our speakers shed light on AI Infrastructure and MLOps and how to navigate the complexities of this dynamic field. Great discussions, networking, and food made it memorable.

Share your favorite moment with us! 

It's been a memorable few days spending time with so many in our community at the Geodesic Forum - it's hard to believe it's already over! 

Our final day was spent with Marcus Otsuji and James Kondo who hosted the second session for Silicon Valley founders on how to win in Japan.

They were joined by Allan T. of Workato, Andrew Nimmer of ScaleInsight K.K., and Akira Shibata of Weights & Biases who shared their experiences as Japan Country Managers lending insights for those just beginning their journey of entering the Japanese market.

A huge thank you to everyone who joined us this week! We look forward to reflecting and sharing more about this year's Geodesic Forum soon.

🌟Master the Future of MLOps with Microsoft's Phi-2 & W&B!  

Join our session with Anish Shah, which will elevate your understanding of advanced LLMs & MLOps to new heights. 

What to expect:
• Deep Dive into Microsoft's Phi-2 language model
• Exclusive Insights on fine-tuning LLMs
• Hands-on demonstrations using  W&B for unparalleled tracking and analysis
• Expert Tips on integrating GitOps for efficient CI/CD

🗓 Date: March 26, 2024 | Time: 12:00 PM (UTC-06:00)

👉 Secure your spot now!
https://bit.ly/3uJ0V0e

It was a blast! W&B VP of Engineering Adrian Swanberg spoke at the W&B monthly meetup in Tokyo yesterday on MLOps.

W&B のVP of エンジニアリングのエイドリアンがマンスリーミートアップで話してくれました。久しぶりにLLMではないテーマ（MLOps）で100人以上の登録。一緒に登壇してくれたばんくしさんの講演もヒジョーに勉強になりました。

#wandb

https://lnkd.in/g2E5Pn57

Weights & Biases is a Series C startup that provides tools for machine learning. Their tools are used by cutting-edge machine learning teams and their mission is to build the best tools for machine learning. The company values honesty, continuous learning, and taking calculated risks. They have a distributed team of over 180 individuals and have received over 250 million dollars in funding from forward-thinking investors.

AI:WANDB

Weights & Biases

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