X @Avi Chawla

AI Agent Evolution - AI agents have evolved from simple LLMs to sophisticated systems with reasoning, memory, and tool use [1] - Early transformer-based chatbots processed small chunks of input, exemplified by ChatGPT's initial 4k token context window [1] - LLMs expanded to handle thousands of tokens, enabling parsing of larger documents and longer conversations [1] - Retrieval-Augmented Generation (RAG) provided access to fresh and external data, enhancing LLM outputs with tools like search APIs and calculators [1] - Multimodal LLMs process text, images, and audio, incorporating memory for persistence across interactions [1] Key Components of Advanced AI Agents - Current AI agents are equipped with short-term, long-term, and episodic memory [1] - Tool calling capabilities, including search, APIs, and actions, are integral to advanced AI agents [1] - Reasoning and ReAct-based decision-making are crucial components of modern AI agents [1]