LLMs and Context

Let’s start for something simple. LLMs don’t have memory. Every time that you make a call to an LLM, you need to provide as an input all the context related to the request. The LLM will pick up this context and produce a result. But, when using AI tools, for example a chat bot, you see that you have a conversation. And it continues the conversation and references things said before. And that is because the chat bot itself maintains and references the context back and forth. In a naive way, it… Read More

Agents and Agency

There’s a lot of talk about the capabilities of AI Agents, and a lot of promise on the things that they may be able to achieve. Or not achieve. As well as a lot of excitement, there’s a lot of skepticism, where not direct rejection. The term of AI Agent is still a bit in flux, but it refers to a program that runs independently with a particular goal and it’s capable of taking actions. The instructions to it are either specific to be done right now (for example: “Go to this… Read More