July 🔬

👉 Machine Learning Algorithms

A collection of minimal and clean implementations of machine learning algorithms. This repo is targeting people who want to learn internals of ml algorithms or implement them from scratch.

🔗 github.com/rushter/MLAlgo…

Hugging Face community articles are full of gems! 🤯Check them out! huggingface.co/blog/community

Some nice topics:
- Multimodal augmentation for Documents
- Synthetic dataset generation techniques
- Designing proteins with ML
- Knowledge Distillation
- VLMs from scratch

We're announcing over $10 million worth of compute to be distributed to the ecosystem of researchers, practitioners, and builders doing amazing open ML!🤗🚀 theverge.com/2024/5/16/2415…

Apart from this, Hugging Face has supported the OS ecosystem by providing hundreds... of GPU

2 years later, still the same (+ llama.cpp)

I built a sample application that uses a Wikipedia search with two Large Language Models:

1. You type a concept
2. The application searches Wikipedia for it
3. The first model summarizes the content
4. The second model generates practice questions

I spent around 15 minutes

There's a new PaliGemma Space we made for you to see
Hugging Face transformers API usage for PaliGemma 🤗
huggingface.co/spaces/google/…

👉 Interactive Tools for Machine Learning

This is one of the best and most recommended github repo for using interactive and visualization tools that will help you understand various topics of machine learning.

🔗 github.com/Machine-Learni…

👉 Interactive Tools for Machine Learning

This is one of the best and most recommended github repo for using interactive and visualization tools that will help you understand various topics of machine learning.

🔗 github.com/Machine-Learni…

Ultimate tool for tracking and optimizing your AI solution in production?

LangSmith by LangChain.

It makes it really easy to track our application. Compared to Datadog, it's a breeze 😃

Do they actually sleep at LangChain?

OpenAI's new #GPT4O is already in the LangSmith Playground! 🤯

Try out the new model at: smith.langchain.com

👉 Awesome Deep Learning Project Ideas

A Handpicked collection of 30+ Natural Language Processing, Recommender Systems, Deep Learning and Machine Learning Project Ideas.

🔗 github.com/NirantK/awesom…

Pair programming has just become outdated #OpenAI

👉 Awesome Deep Learning Project Ideas

A Handpicked collection of 30+ Natural Language Processing, Recommender Systems, Deep Learning and Machine Learning Project Ideas.

🔗 github.com/NirantK/awesom…

New to local LLMs?🦙

Then I recommend the “The Llama Hitchiking Guide to Local LLMs” by Omar Sanseviero, Hugging Face’s Chief Llama Officer himself.

It covers all the relevant terms you should have heard of before to better navigate the local LLM space.

🔗 osanseviero.github.io/hackerllama/bl…

One of the perks of being an O'Reilly author is getting early access to all their upcoming books. Today, I spent some time exploring the new book on language models by Jay Alammar and Maarten Grootendorst. I'm thoroughly enjoying it, particularly the clear diagrams that make the learning

👉 Foundations Of ML

Using this repo, You can learn the foundations of ML through intuitive explanations, clean code and visuals. Also, You can learn how to apply ML to build a production grade product to deliver value.

🔗 github.com/GokuMohandas/M…

👉 Foundations Of ML

Using this repo, You can learn the foundations of ML through intuitive explanations, clean code and visuals. Also, You can learn how to apply ML to build a production grade product to deliver value.

🔗 github.com/GokuMohandas/M…

Setup a completely local 'ChatGPT'- like site. Backend, frontend, docker. Video link in reply.

In Building Agentic RAG with @Llama_Index, you'll move beyond the basic RAG pipeline.

Let’s build a router for handling QA and summarization over a single doc, an agent reasoning loop, and an agent capable of managing multiple documents.

Enroll for free: hubs.la/Q02wLdR70