Part I : Understanding Agentic Workflow, its building blocks, and protocols
Authors: Syed Hassan and Kashif Islam
AI
LLM
Docker
Containers
At a glance !!
Enhancing your local LLM from a chatbot to an Agent require just two extremely simple steps
under development
If you have followed my previous blog, you already have a soverign instance of LLM running locally on your computer. Thats great, and it comes really handy to ask it questions, have it translate contents, analyze documents etc. - all with complete privacy. However, end of the day, LLM's power is limited to the knowledge that its trained with. The LLM can't "act" on that knowledge, it can't access your local filesystems to read and write files on its own, it can't access the internet to get additional pieces of information or perform a live web search if needed. So while we have let the genie out of the lamp, this genie soon starts to feel like it could do a bit more. Thats where "Agents" enter the picture