# Weights \& Biases: The AI developer platform > Learn why thousands of companies rely on W\&B as their system of record for training AI models and developing AI applications with confidence\. Generated by Yoast SEO v28.2, this is an llms.txt file, meant for consumption by LLMs. ## Pages - [AI Governance](https://wandb.ai/site/solutions/rag/) - [How RadAI Uses Weights \& Biases to Ship Production ML Models Faster](https://wandb.ai/site/customers/radai/) - [JetBrains \+ Weights \& Biases: Establishing frameworks and best practices for enterprise AI agents](https://wandb.ai/site/customers/jetbrains/) - [W\&B AI Terms](https://wandb.ai/site/ai-terms/) - [Master Service Agreement​](https://wandb.ai/site/terms/) ## Posts - [Mastering AI agent observability: From black\-box to traceable systems](https://wandb.ai/site/articles/ai-agent-observability/) - [AI agents in healthcare: Enhancing patient outcomes and streamlining operations](https://wandb.ai/site/articles/intro-to-mlops-hyperparameter-tuning/) - [An introduction to Physical AI](https://wandb.ai/site/articles/an-introduction-to-physical-ai/) - [Chatbots in finance and banking](https://wandb.ai/site/articles/chatbots-in-finance-and-banking/) - [LLM observability: Your guide to monitoring AI in production](https://wandb.ai/site/articles/llm-observability/) ## Landing Pages - [Hero Homepage 2024](https://wandb.ai/site/hero-homepage-2024/) ## Academy Courses - [Building LLM\-powered apps](https://wandb.ai/site/courses/llm-apps/): Learn how to build LLM\-powered applications using LLM APIs, Langchain and Weights \& Biases LLM tooling\. This course will guide you through the entire process of designing, experimenting, and evaluating LLM\-based apps\. - [LLM apps: Evaluation](https://wandb.ai/site/courses/evals/): Develop techniques for building, optimizing, and scaling AI evaluators with minimal human input\. Learn to build reliable evaluation pipelines for LLM applications by combining programmatic checks with LLM\-based judges\. - [AI Engineering: Agents](https://wandb.ai/site/courses/agents/): In this course you'll learn to work with reasoning models to build production\-grade AI agents that can autonomously tackle complex workflows, from deep analysis to support agents\. Learn to architect and evaluate robust systems that combine LLMs, tools, memory, and planning to ship real\-world applications\. - [Weights \& Biases 201: Registry](https://wandb.ai/site/courses/weights-biases-201-registry/): This compact course, led by ML Success Engineer Ken Lee, dives into advanced model management utilizing Weights and Biases for logging, registering, and managing ML models\. - [Developer's guide to LLM prompting](https://wandb.ai/site/courses/prompting/): This course covers everything you need to get started with prompt engineering, from system prompts and structural techniques to model\-specific strategies\. Using a text\-understanding use case, you will gain experience with code and industry knowledge\. ## Applied Deep Learning - [Introduction to Applied Deep Learning with Josh Tobin](https://wandb.ai/site/articles/applied-deep-learnin/introduction-to-applied-deep-learning-with-josh-tobin/) - [Grading Rubric for AI with Sergey Karayev](https://wandb.ai/site/articles/applied-deep-learnin/grading-rubric-for-ai-with-sergey-karayev/) ## Customer Stories - [How RadAI Uses Weights \& Biases to Ship Production ML Models Faster](https://wandb.ai/site/articles/customer-story/how-radai-uses-weights-biases-to-ship-production-ml-models-faster/) - [JetBrains \+ Weights \& Biases: Establishing frameworks and best practices for enterprise AI agents](https://wandb.ai/site/articles/customer-story/jetbrains-weights-biases-establishing-frameworks-and-best-practices-for-enterprise-ai-agents/) - [How Decart built Oasis 3, the first API\-accessible world model for faster, more effective, and scalable robotic learning](https://wandb.ai/site/articles/customer-story/how-decart-built-oasis-3-the-first-api-accessible-world-model-for-faster-more-effective-and-scalable-robotic-learning/) - [How Scaled Cognition built reliable LLMs for regulated industries with Weights \& Biases](https://wandb.ai/site/articles/customer-story/how-scaled-cognition-built-reliable-llms-with-114-higher-accuracy-for-regulated-industries-with-weights-biases/) - [How Upstage proved the origin of their leading AI model–and set a new standard for reproducible model development](https://wandb.ai/site/articles/customer-story/how-upstage-proved-the-origin-of-their-leading-ai-model-and-set-a-new-standard-for-reproducible-model-development/) ## Customers Logos - [Capella Space](https://wandb.ai/site/articles/wandb-logo/capella-space/) - [IRobot](https://wandb.ai/site/articles/wandb-logo/irobot/) - [Monsters Aliens Robots Zombies Inc\. \(MARZ\)](https://wandb.ai/site/articles/wandb-logo/monsters-aliens-robots-zombies-inc-marz/) - [Graphcore](https://wandb.ai/site/articles/wandb-logo/graphcore/) - [Blue River Technology](https://wandb.ai/site/articles/wandb-logo/blue-river-technology/) ## Events - [What do you mean by sovereign AI?](https://wandb.ai/site/resources/events/what-do-you-mean-by-sovereign-ai/) - [What's New Wednesdays](https://wandb.ai/site/resources/events/whats-new-wednesdays/) - [AI Agent評価体系構築セミナー：座学からハンズオン](https://wandb.ai/site/resources/events/ai-agent-eval-handson/): 生成AI・AIエージェントの品質保証を、考え方から実践まで一気に学べる3時間の勉強会です。『生成AIアプリケーション評価入門』の著者による解説に加え、Weights \& BiasesのWeaveを使ったハンズオンを通じて、オフライン・オンライン評価を組み合わせた実践的な評価プロセスを体験いただけます。 - [Fine\-tuning World Action Models \(WAMs\): From multimodal data to reliable robot behavior](https://wandb.ai/site/resources/events/fine-tuning-world-action-models-wams-from-multimodal-data-to-reliable-robot-behavior/) - [Coding Agentの\ハーネスについて考える\\- W\&Bミートアップ \#28](https://wandb.ai/site/resources/events/tokyo-meetup-28/): 今回のWeights \& Biasesミートアップでは、ハーネスについての思想や具体的な手法まで共有し合います。 ## Jobs - [Staff Product Manager \- Models](https://wandb.ai/site/?post_type=job&p=18929/) - [Staff Software Engineer, Metrics \- US \(Remote\)](https://wandb.ai/site/?post_type=job&p=23669/) - [Senior Product Manager \- Platform](https://wandb.ai/site/?post_type=job&p=26369/) - [Software Engineer, Weave \- San Francisco \(Hybrid\)](https://wandb.ai/site/?post_type=job&p=11739/) - [Software Engineer, Models \- US \(Remote\)](https://wandb.ai/site/?post_type=job&p=16860/) ## Press Releases - [Weights \& Biases Wins Google Cloud Technology Partner of the Year Award for Generative AI \- Overall Impact](https://wandb.ai/site/press-release/weights-biases-wins-google-cloud-technology-partner-of-the-year-award-for-generative-ai-overall-impact/) - [Weights \& Biases Wins Google Cloud Technology Partner of the Year Award for AI and Machine Learning](https://wandb.ai/site/press-release/weights-biases-wins-google-cloud-technology-partner-of-the-year-award-for-ai-and-machine-learning/) - [Weights \& Biases Unveils Lineup for Fully Connected Conference in San Francisco](https://wandb.ai/site/press-release/weights-biases-unveils-lineup-for-fully-connected-conference-in-san-francisco/) - [Weights \& Biases to Host Annual Fully Connected Conference in San Francisco](https://wandb.ai/site/press-release/weights-biases-to-host-annual-fully-connected-conference-in-san-francisco/) - [Weights \& Biases Raises $50 Million Round Led by Daniel Gross and Nat Friedman, Announces W\&B Prompts](https://wandb.ai/site/press-release/weights-biases-raises-50-million-round-led-by-daniel-gross-and-nat-friedman-announces-wb-prompts/) ## Speakers - [Sarah Carthy](https://wandb.ai/site/articles/speaker/sarah-carthy/) - [Yang Li](https://wandb.ai/site/articles/speaker/yang-li/) - [松木 晋祐](https://wandb.ai/site/articles/speaker/%e6%9d%be%e6%9c%a8-%e6%99%8b%e7%a5%90/) - [西見 公宏](https://wandb.ai/site/articles/speaker/%e8%a5%bf%e8%a6%8b-%e5%85%ac%e5%ae%8f/) - [大嶋 勇樹](https://wandb.ai/site/articles/speaker/%e5%a4%a7%e5%b6%8b-%e5%8b%87%e6%a8%b9/) ## Tutorials - [Build a Neural Network](https://wandb.ai/site/articles/tutorials/build-a-neural-network/) - [Intro to Machine Learning](https://wandb.ai/site/articles/tutorials/intro-to-machine-learning/) - [Batch Size and Learning Rate](https://wandb.ai/site/articles/tutorials/batch-size-and-learning-rate/) - [Data Augmentation](https://wandb.ai/site/articles/tutorials/data-augmentation/) - [Speech Recognition](https://wandb.ai/site/articles/tutorials/speech-recognition/) ## W\&B in action - [AI engineering course: Agents](https://wandb.ai/site/articles/wb-in-action/ai-engineering-course-agents/) - [A primer on building successful AI agents](https://wandb.ai/site/articles/wb-in-action/28504-/) - [W\&B Inference powered by CoreWeave guide](https://wandb.ai/site/articles/wb-in-action/wb-inference-docs/) - [DeepSeek\-R1 vs OpenAI o1 comparison](https://wandb.ai/site/articles/wb-in-action/deepseek-r1-vs-openai-o1-comparison/) - [PII redaction with Llama 3\.1 tutorial](https://wandb.ai/site/articles/wb-in-action/pii-redaction-with-llama-3-1-tutorial/) ## Captivate Podcasts - [Brandon Rohrer — Machine Learning in Production for Robots](https://wandb.ai/site/resources/podcast/episodes/brandon-rohrer-machine-learning-in-production-for-robots/) - [Nicolas Koumchatzky — Machine Learning in Production for Self\-Driving Cars](https://wandb.ai/site/resources/podcast/episodes/nicolas-koumchatzky-machine-learning-in-production-for-self-driving-cars/) - [Rachael Tatman — Conversational AI and Linguistics](https://wandb.ai/site/resources/podcast/episodes/rachael-tatman-conversational-ai-and-linguistics/) - [Jack Clark — Building Trustworthy AI Systems](https://wandb.ai/site/resources/podcast/episodes/jack-clark-building-trustworthy-ai-systems/) - [Vicki Boykis — Machine Learning Across Industries](https://wandb.ai/site/resources/podcast/episodes/vicki-boykis-machine-learning-across-industries/) ## Customer Stories \(New\) - [Rime](https://wandb.ai/site/customers-new/rime/) - [Toyota](https://wandb.ai/site/customers-new/toyota/) - [Mercari](https://wandb.ai/site/customers-new/mercari/) - [Bytefuse](https://wandb.ai/site/customers-new/bytefuse/) - [SambaNova](https://wandb.ai/site/customers-new/sambanova/) ## Inference Models - [NVIDIA Nemotron 3\.5 Lightning](https://wandb.ai/site/inference-model/cw_nvidia_nemotron-3.5-lightning-30b-a3b/) - [DeepSeek V4\-Pro](https://wandb.ai/site/inference-model/cw_deepseek-ai_deepseek-v4-pro/) - [DeepSeek V4\-Flash\-0731](https://wandb.ai/site/inference-model/cw_deepseek-ai_deepseek-v4-flash-0731/) - [Meta Llama 3\.1 8B](https://wandb.ai/site/inference-model/meta-llama-3-1-8b/) - [Meta Llama 3\.1 70B](https://wandb.ai/site/inference-model/meta-llama-3.1-70b/) ## Resource Cards - [From physics to intelligence: Accelerating the design of next‑generation products](https://wandb.ai/site/?resource-card=from-physics-to-intelligence-accelerating-the-design-of-next-generation-products/) - [Getting started with Weights \& Biases for robotics](https://wandb.ai/site/?resource-card=getting-started-with-weights-biases-for-robotics/) - [W\&B Models: Advanced visualization for robotics AI workflows](https://wandb.ai/site/?resource-card=wb-models-advanced-visualization-for-robotics-ai-workflows/) - [Track robotics training dynamics in Weights \& Biases](https://wandb.ai/site/?resource-card=track-robotics-training-dynamics-in-weights-biases/) - [Robots dream in simulation](https://wandb.ai/site/?resource-card=robots-dream-in-simulation/) ## Weave X\-Sell ABM Pages - [Cohere](https://wandb.ai/site/weave-for-cohere/) - [Splunk](https://wandb.ai/site/weave-for-splunk/) - [Armorblox](https://wandb.ai/site/weave-for-armorblox/) - [Novo Nordisk](https://wandb.ai/site/weave-for-novo-nordisk/) - [Carta](https://wandb.ai/site/weave-for-carta/) ## Weave X\-Sell ABM Thanks Pages - [Cohere](https://wandb.ai/site/weave-for-cohere/thank-you/) - [Armorblox](https://wandb.ai/site/weave-for-armorblox/thank-you/) - [Splunk](https://wandb.ai/site/weave-for-splunk/thank-you/) - [Carta](https://wandb.ai/site/weave-for-carta/thank-you/) - [Novo Nordisk](https://wandb.ai/site/weave-for-novo-nordisk/thank-you/) ## Ebooks - [MLOps: A Holistic Approach](https://wandb.ai/site/resources/whitepapers/holistic-mlops/) - [Current Best Practices for Training LLMs from Scratch](https://wandb.ai/site/resources/whitepapers/llm-whitepaper/) - [Best Practices for Fine\-Tuning and Prompt Engineering LLMs](https://wandb.ai/site/resources/whitepapers/llm-fine-tuning/) - [Deliver AI agents with confidence: Strategies, ops, tooling, and best practices](https://wandb.ai/site/resources/whitepapers/agentops/) - [3 proven strategies to fast track AI projects](https://wandb.ai/site/resources/whitepapers/fast-track-ai-projects/) ## Categories - [Agents](https://site.wandb.ai/articles/genai/agents/) - [Whitepapers](https://site.wandb.ai/articles/whitepapers/) - [Kimi inference](https://site.wandb.ai/articles/category/kimi-inference/) - [Qwen Inference](https://site.wandb.ai/articles/category/all/qwen-inference/) - [Llama 3\.1](https://site.wandb.ai/articles/category/all/llama-3-1/) ## Courses Categories - [INTERNATIONAL](https://site.wandb.ai/articles/course-category/international/) - [W\&B PLATFORM](https://site.wandb.ai/articles/course-category/wb-platform/) - [MLOPS](https://site.wandb.ai/articles/course-category/mlops/) - [GenAI](https://site.wandb.ai/articles/course-category/llms/) ## Industries - [Media](https://site.wandb.ai/articles/industry/media/) - [Financial Services](https://site.wandb.ai/articles/industry/financial-services/) - [Finance](https://site.wandb.ai/articles/industry/finance/) - [Real Estate](https://site.wandb.ai/articles/industry/real-estate/) - [Pharmaceuticals](https://site.wandb.ai/articles/industry/pharmaceuticals/) ## Locations - [APAC](https://site.wandb.ai/articles/location/apac/) - [EMEA](https://site.wandb.ai/articles/location/emea/) - [Global](https://site.wandb.ai/articles/location/global/) - [North America](https://site.wandb.ai/articles/location/north-america/) ## Region - [EMEA](https://site.wandb.ai/articles/region/emea/) - [APAC](https://site.wandb.ai/articles/region/apac/) - [Americas](https://site.wandb.ai/articles/region/americas/) ## Sectors - [Autonomous Driving \& Industrial](https://site.wandb.ai/articles/sector/autonomous-driving-industrial/) - [High Tech](https://site.wandb.ai/articles/sector/high-tech/) - [Financial \& Business Services](https://site.wandb.ai/articles/sector/financial-business-services/) - [Commerce, Media \& Entertainment](https://site.wandb.ai/articles/sector/commerce-media-entertainment/) ## Types - [Meetup](https://site.wandb.ai/articles/event-type/meetup/) - [Conference](https://site.wandb.ai/articles/event-type/conference/) - [Partner event](https://site.wandb.ai/articles/event-type/partner-event/) - [Webinar](https://site.wandb.ai/articles/event-type/webinar/) - [On Demand](https://site.wandb.ai/articles/event-type/on-demand/) ## Visibitliy - [Private](https://site.wandb.ai/articles/visibility/private/) ## Jobs Categories - [Finance](https://site.wandb.ai/articles/jobs-category/finance-admin/) - [People Team](https://site.wandb.ai/articles/jobs-category/people-team/) - [People Operations](https://site.wandb.ai/articles/jobs-category/people-operations/) - [Sales Administration and Business Development](https://site.wandb.ai/articles/jobs-category/sales-administration-and-business-development/) - [Revenue Operations](https://site.wandb.ai/articles/jobs-category/revenue-operations/) ## Resource Card Collections - [Inference Model Generic](https://site.wandb.ai/articles/resource-card-collection/im-generic/) - [Inference Model Qwen](https://site.wandb.ai/articles/resource-card-collection/im-qwen/) - [Inference Model Llama 3\.1](https://site.wandb.ai/articles/resource-card-collection/im-llama-31/) - [Inference Model DeepSeek R1](https://site.wandb.ai/articles/resource-card-collection/im-deepseek-r1/) - [Inference Model Kimi K2](https://site.wandb.ai/articles/resource-card-collection/im-kimi-k2/) ## Podcast Categories - [featured](https://site.wandb.ai/articles/captivate-category/featured/) ## Optional - [Sitemap index](https://site.wandb.ai/sitemap_index.xml)