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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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CryptoBull_360™

@cryptobull_360 · Post #49774 · 05/13/2026, 02:05 PM

🕵️‍♂️#HYPE Wallet associated with a16z in the last month has gained 1.588 million HYPE worth ~$67.4 million and staked 1.3 million HYPE.

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CryptoBull_360™

@cryptobull_360 · Post #48848 · 03/19/2026, 07:51 PM

📈👀#HYPE Analysts at JPMorgan note the growing popularity of Hyperliquid amid traders' desire for round-the-clock oil trading.

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CryptoBull_360™

@cryptobull_360 · Post #48430 · 02/18/2026, 01:33 PM

🗽👀#HYPE Hyperliquid created the “Hyperliquid Policy Center” with the goal of developing a legal mechanism for widespread adoption of DeFi in the United States.

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CryptoBull_360™

@cryptobull_360 · Post #48232 · 02/11/2026, 12:17 PM

✏️#HYPE Hyperliquid Strategies reports profit, acquired 5 million HYPE for $129.5 million at a price of $25.9 per token, leaving the company with $125 million.

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