Model Context Protocol (MCP) is an open standard created by Anthropic in November 2024 that gives large language models a universal, JSON-RPC 2.0-based interface for connecting to external tools, databases, and services. Instead of writing custom connectors for every LLM-plus-tool pair (the N×M problem), developers expose capabilities through MCP servers and consume them through MCP clients … Read more
LoRA (Low-Rank Adaptation) is a parameter-efficient fine-tuning method that freezes the base LLM and trains only small low-rank adapter matrices injected into selected layers. Instead of updating a full weight matrix W ∈ ℝd×k, LoRA learns two compact matrices A and B where the rank r ≪ min(d, k): W′ = W + B · A This reduces trainable parameters … Read more
AI Agents Explained: How Autonomous AI Works in 2026 AI agents are autonomous software systems that perceive their environment, reason about goals, and take independent actions — such as calling APIs, booking flights, or coordinating with other agents — without step-by-step human instructions. In 2026, agentic AI has crossed from pilot programs into mainstream enterprise … Read more