Continual learning for AI agents

1. 1Identify the three layers of agentic systems: model, harness, and context
2. 2Understand the techniques for updating model weights, such as SFT and RL
3. 3Recognize the challenge of catastrophic forgetting and its impact on model performance
4. 4Explore the concept of harnesses and their role in driving agents
5. 5Consider the importance of context in configuring and improving agents

AI engineers, researchers, and developers can benefit from understanding these layers to build more effective agentic systems, and product managers can use this knowledge to design better AI-powered products

💡 Continual learning is not limited to updating model weights, but can also occur at the harness and context layers

🤖 Continual learning for AI agents happens at 3 layers: model, harness, and context! 🚀