The Thought-Action-Observation Cycle: How AI Agents Think and Learn
Understanding the cognitive loop that powers modern AI agents: how they think before acting, execute actions, observe results, and learn from the process to make better decisions.
Writing on software, artificial intelligence, and how we can embrace the future.
All of my long-form thoughts on software, artificial intelligence, future technology, and more.
AI Agents: Autonomous Problem Solvers in Action
Exploring how AI Agents are revolutionizing problem-solving by autonomously breaking down complex tasks, making decisions, and taking actions to achieve specific goals - from scheduling meetings to automating complex workflows.
ReAct: Synergizing Reasoning and Acting in Language Models
Exploring how ReAct combines reasoning and acting in language models to create more powerful AI systems that can think through problems step-by-step while taking actions to gather information.