| ★ | Accelerate LLM post training with W&B Serverless SFT | Weights & Biases @weightsbiases | 282 | Estados Unidos | |
| 9 | Building Agentic AI Workloads – Crash Course | freeCodeCamp.org @freecodecamp | — | Estados Unidos | 89 |
| 15 | Let's Build Pipeline Parallelism from Scratch – Tutorial | freeCodeCamp.org @freecodecamp | — | Estados Unidos | 88 |
| 2 | LLM Fine-Tuning Course – From Supervised FT to RLHF, LoRA, and Multimodal | freeCodeCamp.org @freecodecamp | 75.5K | Estados Unidos | 90 |
| 7 | 10: Generative AI – Adapting LLMs with Parameter-Efficient Fine-Tuning | MIT OpenCourseWare @mitocw | 9.3K | Estados Unidos | 89 |
| 18 | Boost LLM performance: New SGLang course is live 🚀 | DeepLearningAI @deeplearningai | 3.9K | — | 88 |
| 17 | MCP to Production: Build an intelligent code-snippet agent using Azure Functions | Microsoft Reactor @microsoftreactor | 1.9K | — | 88 |
| 20 | W&B Models end-to-end demo | Weights & Biases @weightsbiases | 1.4K | Estados Unidos | 88 |
| 1 | Boost agent reliability with W&B Training Serverless RL | Weights & Biases @weightsbiases | 1.1K | Estados Unidos | 92 |
| 6 | Amazon Bedrock vs. SageMaker: Don’t Pick the Wrong One! | | 1.1K | Estados Unidos | 89 |
| 10 | Getting started with Weights & Biases for robotics | Weights & Biases @weightsbiases | 723 | Estados Unidos | 89 |
| 12 | Wigolo Web Intelligence Server: Parallel Agent Research Without API Bills or Data Leakage | | 660 | Estados Unidos | 89 |
| 14 | Track robotics training dynamics in Weights & Biases | Weights & Biases @weightsbiases | 284 | Estados Unidos | 88 |
| 13 | Best Practices for Building High-Performance Voice Agents with AssemblyAI | | 194 | Estados Unidos | 88 |
| 3 | Fully Connected Tokyo: [Hands-on workshop] From 0 to automated evals | Weights & Biases @weightsbiases | 143 | Estados Unidos | 89 |
| 4 | Building an LLM: A Complete Guide to Creating Your Own Large Language Model from Scratch | One Minute Finance @oneminutefinance | 137 | Reino Unido | 89 |
| 5 | Matching features, not tokens: Energy-based fine-tuning of language models | Microsoft Research @microsoftresearch | 96 | Estados Unidos | 89 |
| 8 | Webinar | Reimagine Rapid Authoring: AI-Powered Content and Real-Time Collaboration in MicroBuilder | | 36 | — | 89 |
| 16 | ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts | | 13 | Estados Unidos | 88 |
| 11 | Deploying Large Language Model Serving and Fine-Tuning Services using BigDL-LLM on Kubernetes | Intel Open Source @intelopensource | 8 | Estados Unidos | 89 |
| 19 | Bolt.new: An Analysis of an AI-Powered Web and Mobile Application Development Platform | | 8 | Reino Unido | 88 |