Agentic AI: On Evaluations
This article will go through common metrics for multi-turn chatbots, RAG, and agentic applications. While also reviewing frameworks like DeepEval, RAGAS, and OpenAI’s Evals library, so you know when to pick what.
Writing on building software, fine-tuning ML models & LLMs (and using generative AI).
As well as being economically efficient (when building and whatnot).
Agentic AI: Implementing Long-Term Memory
If you have ever worked with LLMs, you know they are stateless. That is, they have no short-term memory. To make sure the LLM can pull up the right facts, understand previous conversations, and connect information, we need to build some fairly complex systems.
Agentic RAG: Company Knowledge Slack Agents
An AI knowledge agent can dig through internal documentation — websites, PDFs, random docs — and answer employees in Slack (or Teams/Discord) within a few seconds. I will go through what it takes to build one using using LlamaIndex and Modal.
Agentic AI: Comparing New Open-Source Frameworks
Did you know there are dozens of open-source agentic frameworks out there? I have briefly tested some of the more popular ones to get a feel for how they work and how easy they are to get started with.