pguso/ai-agents-from-scratch
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
Language: JavaScript
#ai_agents #educational #function_calling #llm #llm_agent #node_llama_cpp #react_agent #tutorial
Stars: 342 Issues: 7 Forks: 22
https://github.com/pguso/ai-agents-from-scratch
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
Language: JavaScript
#ai_agents #educational #function_calling #llm #llm_agent #node_llama_cpp #react_agent #tutorial
Stars: 342 Issues: 7 Forks: 22
https://github.com/pguso/ai-agents-from-scratch
GitHub
GitHub - pguso/ai-agents-from-scratch: Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding…
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns. - pguso/ai-agents-from-scratch
❤2
raiyanyahya/how-to-train-your-gpt
Build a modern LLM from scratch. Every line commented. Explained like we are five.
Language: Jupyter Notebook
#attention_mechanism #deep_learning #educational #from_scratch #gpt #language_model #llama #llm #machine_learning #natural_language_processing #python #pytorch #tokenisation #transformers #tutorial
Stars: 478 Issues: 0 Forks: 63
https://github.com/raiyanyahya/how-to-train-your-gpt
Build a modern LLM from scratch. Every line commented. Explained like we are five.
Language: Jupyter Notebook
#attention_mechanism #deep_learning #educational #from_scratch #gpt #language_model #llama #llm #machine_learning #natural_language_processing #python #pytorch #tokenisation #transformers #tutorial
Stars: 478 Issues: 0 Forks: 63
https://github.com/raiyanyahya/how-to-train-your-gpt
GitHub
GitHub - raiyanyahya/how-to-train-your-gpt: Build a modern LLM from scratch. Every line commented. Explained like we are five.
Build a modern LLM from scratch. Every line commented. Explained like we are five. - raiyanyahya/how-to-train-your-gpt