Daily Dose of DS offers a daily dose of inspiration, education, and motivation for data scientists and aspiring data professionals. Through bite-sized articles, tutorials, and curated resources, readers embark on a journey to master the art and science of data analysis, machine learning, and artificial intelligence. By staying updated with the latest trends, techniques, and tools in data science, readers can hone their skills and stay ahead in this rapidly evolving field.

Daily Dose of Data Science | Avi Chawla | Substack

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.

AI Agent Crash Course—Part 1

<p>I want to implement the guardrail in the my Langgraph agent, I have explored LLMGuard, NeMO Guardrails and Guardrails ai, I just want to know which one is great in your opinion.</p>
