Downloaded LLAMA2 and set up the 13B param one locally and it's IMPRESSIVE!!!

First off it's like GPT-3 kind of good for everyday use. Second off it didn't require hugee resources and it was actually fast! 🤯

So the first thought that came to mind was to set it all up on my server for all y'all to use. But ofc shared servers have limited resources and would run at all.

I'll experiment and see if I can adjust the memory requirements to run on my servers. Then we can all use it freely.

You should try it, specially if you have a nice gaming PC. And you should try it with the c++ version instead of python which is also super easy to set up and run
• https://github.com/ggerganov/llama.cpp

Use this guide to set up and run locally
• https://dev.to/timesurgelabs/how-to-run-llama-2-on-anything-3o5m

Have fun! 🎉

#AI #Meta #ML #LLAMA
@Dagmawi_Babi

Kaggle is a HUGE resource when it comes to learning machine learning and AI along side progamming.
• https://www.kaggle.com/learn

Not only does it have an extensive list of datasets, AI models and machine learning related codes but it also has an epic resource of learning materials.

You get to learn, write ML code, train it on datasets, compete in competitions and so much more all in one free platform. This's mind blowing!

#Kaggle #AI #ML #Resources
@Dagmawi_Babi

Devin is marketed as the first AI software engineer, but don't let that throw you off. Though It's coding and debugging capabilities are insane, it's still has a long way to go AND will come to a stop.

It's great but I know it'll replace devs, What most people don't understand is that these models are LLMs. They're statistical predictive models that don't understand what they're doing. So just like how ChatGPT hasn't stopped all the authors of the world, this won't stop the coders too.

If you don't fully understand what I am talking about please watch Lex's podcast with Yan Lecun.

But not to throw shade at the party, this's still epic fine tuning and epic demo of an LLM.

#Devin #AI #ML #LLM
@Dagmawi_Babi

xAI's Grok LLM has been open sourced

They released the base model weights and network architecture. It also shows that the model has 314 billion parameters and is a mixture of experts model. And it is not fine tuned alot. So chatting with it needs a bit of a config and fine tuning.

For a 314B parameter model, it is very undertrained. The benchmarks show that the model is of the GPT 3.5 level. GPT 3.5 is estimated to be a 20B parameter model.

Repo
• https://github.com/xai-org/grok-1

Weights
• https://huggingface.co/xai-org/grok-1/tree/main/ckpt

#Grok #LLM #AI #ML
@Dagmawi_Babi

That tone is just so unnecessary.
Specially when IT plays and talks to the dog, UGH so creepy. People are so doomed. Dating this is gonna be happening soon ofcourse.

#OpenAI #GPT4o #AI #ML
@Dagmawi_Babi

If you've got some cash and a solid ML project, Lambda is the best place to train your models on for the cheapest price
• LambdaLabs.com

They pretty much have the best GPUs you could ever need and an epic support. Plus Andrej Karpathy uses this service.

#LambdaLabs #AI #ML #Resources
@Dagmawi_Babi