TaskMatrix VS llama.go

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)

You might reuse simple LLaMA tokenizer right in your Go code, look there:

https://github.com/gotzmann/llama.go/blob/8cc54ca81e6bfbce25...

llama.go is like llama.cpp in pure Golang (https://github.com/gotzmann/llama.go)

I'm developing framework [1] in Golang with this goal in mind :) It successfully runs relatively big LLM right now, and diffusion models will be the next step

[1] https://github.com/gotzmann/llama.go/