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Source channel @githubtrending · Post #14845 · Jun 20

#jupyter_notebook#ai#artificial_intelligence#chatgpt#deep_learning#from_scratch#gpt#language_model#large_language_models#llm#machine_learning#python#pytorch#transformer You can learn how to build your own large language model (LLM) like GPT from scratch with clear, step-by-step guidance, including coding, training, and fine-tuning, all explained with examples and diagrams. This approach mirrors how big models like ChatGPT are made but is designed to run on a regular laptop without special hardware. You also get access to code for loading pretrained models and fine-tuning them for tasks like text classification or instruction following. This helps you deeply understand how LLMs work inside and lets you create your own functional AI assistant, gaining practical skills in AI development[1][2][3][4]. https://github.com/rasbt/LLMs-from-scratch

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Crypto M - Crypto News

@CryptoM · Post #65378 · 04/13/2026, 03:10 AM

🚀 AI TRENDS | University of California Study Reveals Security Risks in Third-Party LLM Routers Researchers at the University of California have identified security vulnerabilities in 26 third-party large language model (LLM) routers, which can potentially inject malicious code or steal credentials from AI agent traffic. According to NS3.AI, the study highlighted that one of these routers was able to drain Ether from a decoy wallet, although the reported financial loss remained under $50. The research paper cautioned developers who utilize AI coding agents for smart contracts or wallets, noting that private keys or seed phrases could be exposed when requests are routed through unscreened routers. #AI#securityrisks#thirdpartyLLM#maliciouscode#credentials#AIagents#UCstudy#smartcontracts#wallets#privatekeys#seedphrases#cybersecurity#ETH