Back in 2023, producing these episodes was really time intensive. I duct-taped a lot of the tech together myself, but it was painful. Well, not anymore. I've finished vibe-coding up an app that runs RubyAI exactly the way I want.
CODE
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Model Weights File Formats in Machine Learning: Storage and Deployment
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Model Weights File Formats in Machine Learning Model weights matter more than ever as AI scales. From storing and sharing to deploying trained models across platforms, file formats like .pt, .ckpt, .h5, and more ensure reproducibility and performance. Check out our blog to
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Research and engineering skills needed for AI team survival
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One more comment about the team, at the current stage our strategy is following to survive. So I expect certain degree of research skills as well as engineering skills.
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What Computer Scientists Should Know About the Brain
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What are some basic things a computer scientist should know about the brain? I teach an Intro to AI course, and my slides include one diagram of a biological neuron that inspired the perceptron. But that's it! I'm just learning some of the things we don't teach 🤯 A thread 🧵
→ View original post on X — @petitegeek, 2025-06-28 14:21 UTC
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Unsloth: Simplifying LLM Fine-Tuning with Reduced Hardware Requirements
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📢Unsloth: A Guide from Basics to Fine-Tuning Vision Models
— Satya Mallick (@LearnOpenCV) 28 juin 2025
Fine-tuning LLMs just got a serious upgrade, meet Unsloth. 🦥⚡ It slashes the complexity, cost, and hardware demands of adapting models like LLaMA, Mistral, and Qwen. No GPU farm needed, Unsloth makes fast,… pic.twitter.com/NaSr8ccgHzUnsloth: A Guide from Basics to Fine-Tuning Vision Models Fine-tuning LLMs just got a serious upgrade, meet Unsloth. It slashes the complexity, cost, and hardware demands of adapting models like LLaMA, Mistral, and Qwen. No GPU farm needed, Unsloth makes fast,
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MCP Explained: Universal API for Prompts Data Tools
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New video! MCP Explained: Universal API for Prompts, Data, and Tools Check it out:
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AI Self-Improvement Through Evolutionary Algorithms and Darwin Gödel Machine
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AI Improves at Improving Itself Using an Evolutionary Trick: Researchers use evolutionary algorithms to enhance AI coding skills. Nice article published in @IEEESpectrum about the Darwin Gödel Machine (
http://
arxiv.org/abs/2505.22954), written by @SilverJacket -
Widespread adoption of Model Context Protocol (MCP) in AI workflows
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Toutes les personnes avec qui j’en parle utilise des MCP. Même moi j’en utilise tout le temps.
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Component modularization as a key strategy for AI-assisted coding
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Faut factoriser en sous composant c’est la clé pour dev avec l’IA
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Comparative analysis of LLM performance for developers versus general chat
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Pour les usages généraux oui et la pluri-fonctionnalité oui. Pour juste du chat conversationnel c’est ChatGPT. Mais Pour les développeurs pas du tout. Anthropic domine largement là.