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A developer's cautionary tale about LLM inaccuracies in simple tasks, highlighting the need to verify AI-generated results.
Explores the future of Wikipedia and journalism in an AI-dominated world, questioning the role of human summarizers as AI becomes ubiquitous.
Key takeaways from Simon Willison's podcast interview on software architecture, plugins, and effectively using LLMs in development.
A summary of a practical session on analyzing and improving LLM applications by identifying failure modes through data clustering and iterative testing.
Developer releases Legba 2.0.0, a Windows desktop app for managing LLM requests with OpenAI API format, featuring new source code inclusion.
A course teaching how to code Large Language Models (LLMs) from scratch to deeply understand their inner workings and fundamentals.
A course teaching how to code Large Language Models from scratch to deeply understand their inner workings, with practical video tutorials.
A tutorial on building a React.js UI to stream and compare responses from multiple AI models simultaneously using the Vercel AI SDK.
Explains key AI terminology like AI, ML, deep learning, and LLMs to help engineers use the correct terms.
A developer explains how to use an open-source LLM within a GitHub Actions workflow to generate descriptive titles for automated Pull Requests.
Introducing CodeBundler 1.0.0, an open-source tool to consolidate C#/VB.NET source files into a single block for better LLM-assisted debugging and development.
A tutorial on building a React.js chat app that allows users to switch between multiple AI models like GPT-4 and Claude 3 using the AI SDK.
A technical cheatsheet for using Google's Gemini AI models with the LangChain framework, covering setup, chat models, prompt templates, and image inputs.
Discusses how LLMs like ChatGPT can boost self-learning by helping understand problems and verify solutions, making skill acquisition easier.
A tutorial on integrating IBM watsonx.ai models into Langflow to build visual RAG applications and AI workflows.
Explores building a web framework designed for AI-generated code, addressing LLM challenges like API mismatches and training data limitations.
A tutorial on building a production-ready chatbot server using IBM Watsonx.ai and the Model Context Protocol (MCP) Python SDK.
Introducing llm-url-markdown, a new plugin for Simon Willison's llm CLI tool that fetches web content as markdown for use as LLM context fragments.
Explores why software testing becomes more critical with AI-generated code, predicting trends like embedded tests, AI automation, and evolving manual QA roles.
Explains how Sampling and Prompts in the Model Context Protocol (MCP) enable smarter, safer, and more controlled AI agent workflows.
