This repo covers LLM, Agents, MCP Tools, Skills concepts with sample codes: LangChain & LangGraph, AWS Strands Agents, Google Agent Development Kit
This repo covers LLM, Agents, MCP Tools, Skills concepts with sample codes: LangChain & LangGraph, AWS Strands Agents, Google Agent Development Kit, Fundamentals.
LLM Core components: - Embedding layer: Converts words/tokens into vectors. - Positional encoding: Adds word order information. - Self-attention mechanism: Captures relationships between tokens. - Feed-forward layers: Process token-level information. - Layer normalization & residuals: Stabilize and enhance training. - Output head: predicts next token or classification result.
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