[ WebToolTip.com ] Udemy - Build a Mini llama.cpp in Pure C - LLM Inference Engine

• ~Get Your Files Here !/2 - Core Foundation – Common Header & Tensor Implementation/2. Core C Project & Custom Tensor System.mp4-134.17 MB
• ~Get Your Files Here !/6 - LLaMA Core Layers — RMSNorm & SwiGLU Feed Forward Network/6. LLaMA Core Layers — RMSNorm & SwiGLU Feed Forward Network.mp4-132.41 MB
• ~Get Your Files Here !/9 - Tokenizer & Autoregressive Generation/9. Tokenizer & Autoregressive Generation.mp4-125.94 MB
• ~Get Your Files Here !/5 - GGUF File Parser – Load Real TinyLlama Model Weights/5. GGUF File Parser – Load Real TinyLlama Model Weights.mp4-121.71 MB
• ~Get Your Files Here !/1 - Project Overview & Environment Setup/1. Project Overview & Environment Setup.mp4-100.83 MB
• ~Get Your Files Here !/8 - Causal Multi-Head Attention with KV Cache Integration/8. Causal Multi-Head Attention.mp4-99.41 MB
• ~Get Your Files Here !/7 - RoPE Rotary Positional Encoding/7. RoPE Rotary Positional Encoding.mp4-87.83 MB
• ~Get Your Files Here !/11 - Additional content — Advanced Optimization Roadmap/11. Advanced Optimization Roadmap.mp4-86.32 MB
• ~Get Your Files Here !/10 - Final Project — Interactive LLM Chat Demo/10. Final Project — Interactive LLM Chat Demo.mp4-80.18 MB
• ~Get Your Files Here !/4 - INT4 Quantization – Model Compression for Local LLM Deployment/4. INT4 Quantization – Model Compression for Local LLM Deployment.mp4-68.3 MB
• ~Get Your Files Here !/3 - KV Cache Implementation/3. KV Cache Implementation.mp4-65.56 MB
• Get Bonus Downloads Here.url-180 Bytes
• ~Get Your Files Here !/Bonus Resources.txt-70 Bytes