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AI Agents Are All You Need
AI Agents, Understanding the role of Tools, Memory, and Planning in making them work.
LLMs have been around for a few years now, and they are rapidly evolving towards AI Agents and Agentic workflows. Don’t get me wrong, LLMs are great, but they are still not efficient at automating the stuff on their own. LLMs combined with other tools are a really efficient way to utilize the general intelligence LLMs possess, by consuming massive amounts of language data. The biggest problem with LLMs is their tendency to get lost (hallucination and self-consistency) here and there, we never know when the LLMs or agents might fail. There have been few guardrails around these failures, but we are far from over to exploit the full capabilities of LLMs general intelligence.
Table of Contents
- From RAG to Agents
- Agent System Overview
- Tool Usage for AI Agents
- Solving Memory Issues in Agentic Workflows
- Planning: Biggest problem of current AI Agents
- Types of Agents
- Conclusion
From RAG to Agents
RAG is a semi-parametric type of system, where the parametric part is the Large Language Model…