Machine Learning
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Real Machine Learning — simple, practical, and built on experience.
Learn step by step with clear explanations and working code.

Admin: @HusseinSheikho || @Hussein_Sheikho
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🔥 Trending Repository: vllm

📝 Description: A high-throughput and memory-efficient inference and serving engine for LLMs

🔗 Repository URL: https://github.com/vllm-project/vllm

🌐 Website: https://docs.vllm.ai

📖 Readme: https://github.com/vllm-project/vllm#readme

📊 Statistics:
🌟 Stars: 55.5K stars
👀 Watchers: 428
🍴 Forks: 9.4K forks

💻 Programming Languages: Python - Cuda - C++ - Shell - C - CMake

🏷️ Related Topics:
#amd #cuda #inference #pytorch #transformer #llama #gpt #rocm #model_serving #tpu #hpu #mlops #xpu #llm #inferentia #llmops #llm_serving #qwen #deepseek #trainium


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🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: transformerlab-app

📝 Description: Open Source Application for Advanced LLM + Diffusion Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.

🔗 Repository URL: https://github.com/transformerlab/transformerlab-app

🌐 Website: https://transformerlab.ai/

📖 Readme: https://github.com/transformerlab/transformerlab-app#readme

📊 Statistics:
🌟 Stars: 3.9K stars
👀 Watchers: 31
🍴 Forks: 363 forks

💻 Programming Languages: TypeScript - JavaScript

🏷️ Related Topics:
#electron #transformers #llama #lora #diffusion #mlx #diffusion_models #llms #stability_diffusion #rlhf


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🧠 By: https://t.me/DataScienceM
If you want to truly understand how AI systems like #GPT, #Claude, #Llama or #Mistral work at their core, these 85 foundational concepts are essential. The visual below breaks down the most important ideas across the full #AI and #LLM landscape.

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