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@NFTCPS: Want to master Reinforcement Learning? Keep dreaming, bro. Online courses just teach you how to call APIs, leaving you utterly confused after finishing. Reading papers? Mountains of formulas will scare you off instantly. Trying to systematically understand the principles? The barrier to entry feels like climbing to heaven, and the learning path is as tangled as a maze. Recently, I stumbled upon an open-source book, 'Mathematical Foundations of Reinforcement Learning,' that pierces right through this fog. It provides a crystal-clear roadmap: starting from mathematics…

X AI KOLs Timeline ↗ · 3d ago Cached

Introduces an open-source book, 'Mathematical Foundations of Reinforcement Learning,' which offers a rigorous yet accessible mathematical approach to RL, using grid world examples to clarify algorithmic logic.

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@svpino: Python, MCP, A2A, and a whole lot about how to build multi-agent systems. This goes well beyond building a single agent…

X AI KOLs Following ↗ · 4d ago Cached

A new book by Gigi Sayfan guides readers on building multi-agent AI systems from scratch using Python, MCP, and A2A protocols, focusing on custom orchestration rather than third-party frameworks.

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@NFTCPS: Brothers, doing AI without large models is like doing nothing! Today I have to recommend an open-source masterpiece 'Foundations of LLMs' to you. Don't wait, just read it! This book doesn't beat around the bush—it goes deep from the start! From getting started with large language models to architectural evolution, and then it breaks down Prompt engineering, parameter-efficient fine-tuning, model editing, RAG (Retrieval-Augmented Generation) and other hardcore techniques in one go—a one-stop service.

X AI KOLs Timeline ↗ · 5d ago Cached

This article promotes the open-source book 'Foundations of LLMs', which systematically explains knowledge about large language models, and introduces the multi-agent development framework Agent-Kernel.

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Tempest vs. Tempest: The Making and Remaking of Atari's Iconic Video Game

Hacker News Top ↗ · 2026-04-23 Cached

A free book dissects the 6502 and 68K assembly code behind Atari’s 1981 Tempest and Jeff Minter’s 1994 Tempest 2000, chapter-by-chapter.

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book

@svpino: Python, MCP, A2A, and a whole lot about how to build multi-agent systems. This goes well beyond building a single agent…

Tempest vs. Tempest: The Making and Remaking of Atari's Iconic Video Game

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