Join Teodora Danilovic, a full-time prompt engineer, as she shares insights into the professional prompt creation process. Discover key considerations for using LLMs in production and success criteria for developing LLM applications for clients. Pre-register here: https://lnkd.in/gTDfJsNi
Weights & Biases
Software Development
San Francisco, California 71,322 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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Weights & Biases reposted this
As part of building our support bot we needed a reliable LLM as a judge Earlier this year Ramanathan Parameshwaran & Ayush Thakur managed to get our judge to a good place after looking through initial the evals from the judge, making corrections to the prompt and adding few shot examples. With a reliable LLM as a judge we can test new ideas against our evals and update the bot's pipeline rapidly. Full details in our blog here https://lnkd.in/euwV73Pw Judge's prompt: https://lnkd.in/eZT3EiFR
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Weights & Biases reposted this
New Webinar 🚨: A Principled Approach to RAG Experimentation + Evaluation 🧪 After 1+ years of RAG development, proper evaluation is still hard. We’re excited to partner with Weights & Biases on a webinar showing you how to build, evaluate, and iterate on a RAG pipeline. Jerry Liu, Ayush Thakur, and more will highlight different evaluation strategies with an LLM Judge against a RAG pipeline. W&B Weave is a new toolkit that gives you a comprehensive way to track and evaluate LLM applications, with features like comparisons, annotations, tracing, and more. Happening next Wednesday 7/10, 9am PT: https://lu.ma/dywrdye5
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The folks at Lambda fine-tuned Open-Sora for stop-motion Lego-style animations using 1,000 GPU hours on a 32-GPU Lambda Cluster. Explore the technical steps, hardware setup, training metrics, and future improvements with Chuan Li, Corey Lowman, David Hartmann, and Jeremy Hummel. Read more: https://lnkd.in/g4j5RzwC
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Explore the impact of well-crafted prompts on AI performance with ready code from Weights & Biases MLE Anish Shah. Our new course covers everything from prompt anatomy basics to advanced techniques such as ReAct. Pre-register here: https://lnkd.in/gTDfJsNi
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Snowflake’s VP of Engineering, Vivek Raghunathan, joined us at #FullyConnected2024 to discuss how seamless integration, real-time data analysis, and enhanced collaboration drive efficiency and innovation in AI development. Watch the full video here: https://lnkd.in/ggcqpu48
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Weights & Biases reposted this
Looking for a SF-based AI Engineer to join my team at Weights & Biases and take W&B Weave to the world: ☕ Write and film educational content 🎉 Arrange the best SF events for hackers 🏗 Build out LLM-powered tools as examples Apply below 👇 https://lnkd.in/e9ayCYxk
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According to the Bain GenAI Survey, 43% of AI use cases failed to meet expectations due to poor performance and low-quality output. Learn the art of prompt engineering, from anatomy to advanced techniques, in our upcoming course designed to boost your AI project success rates. Pre-register here: https://lnkd.in/gTDfJsNi
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Introducing W&B Rewind, in private preview. Correct or modify a run’s history without losing your original data. Highlights: ✔️ Truncate history for new data logging. ✔️ Preserve and merge configurations. ✔️ Maintain run & artifact associations. Learn more at https://lnkd.in/gxEzTT8V Interested in early access? Contact Support@wandb.com to get started