Apr 26 · 5 min read · Built in the open. Trained in public. Shipped with the spirit of the open-source AI community. A February Evening That Changed My Thinking On 17 February, I walked into an Anthropic event carrying o
Join discussion
Apr 18 · 28 min read · TLDR: A pretrained LLM is a generalist. Fine-tuning makes it a specialist. Supervised Fine-Tuning (SFT) teaches it your domain's language through labeled examples. LoRA does the same with 99% fewer trainable parameters. RLHF shapes its behavior using...
Join discussion
Mar 31 · 6 min read · TL;DR AI system benchmarks like MLPerf struggle to keep pace with the rapidly evolving model landscape, making it difficult for organizations to make informed deployment decisions. We believe benchmar
Join discussionMar 25 · 2 min read · At a glance: Official hf-mcp-server (210 stars, 723 commits, 98 releases, MIT), Streamable HTTP at https://huggingface.co/mcp, 7 built-in tools, any Gradio Space becomes an MCP tool with one line of code. Rating: 3.5/5. What It Does Built-in Tools (7...
Join discussionMar 19 · 4 min read · In recent years, Hugging Face has become the go-to platform for working with state-of-the-art machine learning models, especially in Natural Language Processing (NLP), Computer Vision, and Generative
Join discussionMar 14 · 8 min read · It started with a tweet. Google Devs posted a demo of FunctionGemma running a game, and I watched this tiny model parse natural language into structured function calls in real time. My immediate thoug
Join discussion
Mar 14 · 5 min read · If you read Part 1, you already know why your laptop struggles with ML. Now let’s actually fix that. When I was building my Disease Prediction System, my laptop gave up mid-training. Not metaphoricall
Join discussion
