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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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Venture Village Wall 🦄

@venturevillagewall · Post #3796 · 01/05/2025, 10:00 AM

Funding Rounds and Crypto Insights 🔍Funding Highlights: 1️⃣Equator - $5M round focused on climate transition in Sub-Saharan Africa. 2️⃣Jentic Technology - $4.14M round for AI integration with APIs. 3️⃣Flint - $2M round inspired by nature. 4️⃣Neovici - $997.05K round for AI in finance. 5️⃣Sushidata - $150K round for user feedback analysis across platforms. ✨Michael Saylor plans to burn his Bitcoin after death, raising concerns among investors. 📈Holdstation sees over $10M in trading volume on ZKSync, expanding to Berachain. 📊Deribit reports strong BTC performance and ETF inflows. Full reports: ZKSync, Deribit Insights #Funding#Equator#Jentic#Flint#Neovici#Sushidata#MichaelSaylor#Bitcoin#BTC#Crypto#Trading#AI#Finance#ETFs#ZKSync#Innovation#Investors#Tech#VC