
learning-ai
Notes and exploration code for learning about AI/ML
Stars: 197

This repository is a collection of notes and code examples related to AI, covering topics such as Tokenization, Architectures, GGML, Llama.cpp, Position Embeddings, GPUs, Vector Databases, and Vision. It also includes in-progress work on Model Context Protocol (MCP) and Voice Activity Detection (VAD) for whisper.cpp. The repository offers exploration code for various AI-related concepts and tools like GGML, Llama.cpp, GPU technologies (CUDA, Kompute, Metal, OpenCL, ROCm, Vulkan), Word embeddings, Huggingface API, and Qdrant Vector Database in both Rust and Python.
README:
This repository contains notes and code examples related to AI.
- Model Context Protocol (MCP)
- Voice Activity Detection (VAD) VAD for whisper.cpp
- whisper.cpp Whisper.cpp
- GGML GGML C library exploration code
- Llama.cpp Llama.cpp library exploration code
- GPU CUDA, Kompute, Metal, OpenCL, ROCm, and Vulkan exploration code
- Embeddings Word embeddings examples in Rust and Python
- Huggingface API Huggingface API example written in Python
- Qdrant Vector Database Examples in Python and Rust
- LanceDB Vector Database Examples in Python and Rust
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