Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.
In business and application development utilizing AI (LLM), "how to efficiently collect clean data for training and RAG" is one of the biggest challenges. Standard scraping hits walls such as parsing ...
Python scripts tend to become black boxes regarding "who wrote them" and "whether they are running," carrying the risk of dependency on specific individuals and abandoned maintenance. RPA tools come ...
基于 PyTorch 从零手写 Transformer / LLaMA / Qwen2 架构的中文对话机器人，参考论文 Attention Is All You Need 及 LLaMA / Qwen2 技术报告。 Token IDs → Embedding → Qwen2Block × 28 ├── RMSNorm → GQA Self-Attention + RoPE ...
Developer Hayden Bleasel has released Blume, an open-source, MIT-licensed documentation framework. It reads a folder of Markdown or MDX and generates a hidden Astro project, shipping static, AI-ready ...
In this tutorial, we reconstruct the VideoAgent workflow as a runnable, API-key-free multi-agent pipeline. We build an intent parser, an agent library, a tool router, a graph planner, and a ...
🤖 NOVA AI NOVA AI is a modern AI-powered desktop assistant built using Python, CustomTkinter, Google Gemini API, and OpenWeather API. It combines rule-based responses with Generative AI to deliver ...
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