Collections·1yComprehensive Course on Building AI Agents
Gain a thorough understanding of building AI agents through this in-depth guide. Learn about essential concepts, practical workflows, memory mechanisms, agentic flows, and safety guardrails. Explore design patterns, agentic frameworks, and multi-agent systems while optimizing AI agents for production environments. Develop key skills like prompt engineering to create responsive AI agents.
Daily Dose of Data Science | Avi Chawla | Substack·1yAI Agent Crash Course—Part 1
In this crash course, learn about AI agents and their implementation. It covers the fundamentals, memory for agents, agentic flows, guardrails, implementing agentic design patterns, and optimizing agents for production. The aim is to build autonomous systems that can reason, plan, take actions, and correct themselves, going beyond the capabilities of standalone generative models.
SwirlAI·1ySimple way to explain Memory in AI Agents.
SwirlAI is partnering with NVIDIA to give away an NVIDIA RTX 4080 SUPER GPU. To enter, register for the GTC 2025 conference, which is free and runs from March 17-21 both in San Jose, CA and virtually. Highlights include sessions on humanoid robots, generative AI for edge applications, and advancements in European robotics. The post also explains four types of memory in AI agents: episodic, semantic, procedural, and short-term (working) memory.