TaskMatrix VS turbopilot

I want to create a script that would automatically read telegram posts and process them, for this, using APIs these days is simply not reliable, so I'm thinking of using selenium python with the browser to do this..is there a way to develop an automated workflow that does this? I've looked in visual GPT from Microsoft https://github.com/microsoft/TaskMatrix

Low-code LLM (https://github.com/microsoft/TaskMatrix/tree/main/LowCodeLLM)

Yep, this is what Microsoft and others have done with the API to create things like bing chat. See: https://github.com/microsoft/TaskMatrix

Visual ChatGPT (now renamed as TaskMatrix https://github.com/microsoft/TaskMatrix likely as a result of OpenAI trying to regulate the use of the name GPT. Same happened for GPT-Eval -> G-Eval).

Microsoft is also going to connect millions of APIs. Right now software for the most part lives in silos and needs humans to move information from one software application to another. TaskMatrixAI will automate that by having a standard API schema that everyone buys into like Apple’s iOS if they want to make money. GPT and Jarvis automatically write the Python code to connect any desired APIs. https://github.com/microsoft/TaskMatrix/tree/main/TaskMatrix.AI

microsoft/TaskMatrix (github.com)

fyi https://github.com/ravenscroftj/turbopilot

TurboPilot: self-hosted copilot clone which uses the library behind llama.cpp to run the 6 Billion Parameter Salesforce Codegen model in 4GiB of RAM. (https://github.com/ravenscroftj/turbopilot)

This repo has a potential

Right now https://github.com/ggerganov/llama.cpp is the dominant back-end for querying models, but forks and alternatives like https://github.com/ravenscroftj/turbopilot keep popping up. Increasingly, models submitted to huggingface explicitly note in their READMEs that the model is not compatible with llama.cpp, and that a different back-end must be used.

There's turbopilot. I haven't tried it yet, but it looks promising.

Turbopilot | open source LLM code completion engine and Copilot alternative

This 6B parameters tool (based on README) could be runned with 4 Gb of RAM. https://github.com/ravenscroftj/turbopilot

there is an interesting link https://github.com/ravenscroftj/turbopilot/wiki/Converting-and-Quantizing-The-Models , just wondering if anyone have done this with 16b and put the weights somewhere