How modern Large Language Models ( LLMs ) do Magic >>> The Q&A

September 27, 2024 #LLMs #A.I. #Chatbots #Large Language Models #LLMs doing tasks #ChatGPT #Finance #Stock Price #StockPriceAutomation #AgentSystem #LLMUtilities #AIandAutomation #YFinancePython #YFinance #Stock Price Data
LLMs doing tasks (Series)
  1. How modern Large Language Models ( LLMs ) do Magic
  2. How modern Large Language Models ( LLMs ) do Magic >>> The Q&A
  3. How modern Large Language Models ( LLMs ) do Magic >>> The Q&A

There is no stupid questions any sort of clearing out or connecting the dots you want to do is welcome. We have premium access and usually early access to all the latest and greatest models and chatbots as well so if you want to know what one of their answers might look like is and how they perform, just mention it when you ask the question. Send a message on matrix or Instagram. You can stay anonymous or just use some nickname as well!

Q : How did you figure all this out?

A :Well I actually wasn't sure how to achieve this when I first started. OpenAI introduced this to everyone a while back, remember they use to actually open source their models it wasn't like it was a nice little marketing gimmick. And take this with a grain of salt because there is no official info but rather comments from people close to the company and industry. ChatGPT itself is like an Agent system, you essentially prompt a agent manager that gives tasks to assistants and reports back to you or maybe passes down a report from an agent. Rahter than just one model being used with your prompt, the way we did it when we setup the local ChatGPT bot in the other blog. So I guess you could say by playing around with it I guess? I first made a few other agents let's say. Like one that executes commands in the terminal but I think the finance stuff is better suited for a wider audience.

In short I guess by seeing the OpenAI example where they used some weather API to get the current weather in a city. I used the yfinance python package and their API to do this the code will be provided in the next post, that will probably be the first YouTube Video. And I will explain how to setup everything for NixOS and other enviroments because people might not know how to do that in the first place. So instead of shutting off everyone who doesn't I will make a in depth blog post once to give everyone a point of reference for everything that we might do in the future. Because I really can't go over it every time, if you're here do this, if you're there do that, now, now, now, now... I just wanted to give everyone an idea now of what is very easy achieve with little resources and to warn everyone it's a bit underwhelming and overengineered. In short..

Series
  1. How modern Large Language Models ( LLMs ) do Magic
  2. How modern Large Language Models ( LLMs ) do Magic >>> The Q&A
  3. How modern Large Language Models ( LLMs ) do Magic >>> The Q&A
Index
Q : How did you figure all this out?