From LLM to AI Agent: What's the Real Journey Behind AI System Development?
a year ago
- #AI Agents
- #LLM
- #AI Development
- AI agents are popular but not always necessary; simpler solutions can be more cost-effective.
- Large Language Models (LLMs) are a snapshot of training data knowledge but lack real-time information without enhancements.
- Retrieval Augmented Generation (RAG) improves LLMs by providing relevant and current context.
- AI workflows automate structured tasks by connecting to APIs and following predefined steps.
- AI agents autonomously reason, make decisions, and manage complex processes like recruitment.
- Key takeaway: Start simple, add complexity as needed, and prioritize reliability over capability.