HeyOctopus

We collect and connect good explanations in the field of AI, Data Science and Web Development so that everyone can master complex topics.

[Semantic Scholar @SemanticScholar]

Trying to find your way around a new research area and identify important papers? HeyOctupus, built on Semantic Scholar API, generates paper learning paths to help you quickly enter new fields of science and share your learning journeys: https://t.co/8TJVVYwOsY

[HeyOctopus @HeyOctopus_]

If you want to create your own Stable Diffusion images locally using the AUTOMATIC1111 Web UI, this blog post by @stable_diff_art is a nice starting point.

Find more learning recommendations here: https://t.co/ZXZgbIIMsl

https://t.co/gAtB5fS2Oo

[HeyOctopus @HeyOctopus_]

Symbolic Regression enables you to distill equations from data or ML models.

This article by @labriataphd provides a nice overview of recent uses of this technique.

Find recommendations where to start and where to go next here: https://t.co/ZOZD5rvTw7

https://t.co/4Z0RddhKNA

[HeyOctopus @HeyOctopus_]

If you are interested in numerical programming, this blog post by @haroldmserrano serves as a simple, visual introduction to the Runge-Kutta method.

Find more learning recommendations here: https://t.co/WKK7SxknCo

https://t.co/hUKf1dHpVi

[HeyOctopus @HeyOctopus_]

If you want to write fluid simulations in Python and know a little about fluid mechanics, this video by @felix_m_koehler is a great place to start.

Find more learning recommendations here: https://t.co/zaalf4LjY7

https://t.co/OE9aqTyAJb

[HeyOctopus @HeyOctopus_]

If you train machine learning models, you have most likely encountered cross entropy loss.

This explanation by @aureliengeron is surely one of the best (and most efficient) out there.

Find more learning recommendations here: https://t.co/WFFFRYl9SM

https://t.co/6uQlqp1Ibz

[HeyOctopus @HeyOctopus_]

This is a great introduction to Markov chains by @normalized_nerd

It's the first video in a series and might be interesting if you want to get into reinforcement learning next!

More learning recommendations here: https://t.co/bvaSM4ldCU

https://t.co/rI3WCjqsqX

[HeyOctopus @HeyOctopus_]

Building an LLM app?

Then these bootcamp lectures from @full_stack_dl are full of interesting considerations, tips and tricks.

Find more learning recommendations here: https://t.co/r8TdvKVUy4

https://t.co/d5q9gDvcYL

[HeyOctopus @HeyOctopus_]

Learning about graph neural networks?

This introduction on @distillpub is a great starting point.

Find more recommendations on where to start and where to go next here: https://t.co/YYr73urbLQ

https://t.co/jGJRF59SmF

[HeyOctopus @HeyOctopus_]

This is the first in a series of features that will allow HeyOctopus users to boost their learning by interacting with learning content in new ways.

Check it out here: https://t.co/gcwqmrr6LP and tell us what you would like to see next!

[HeyOctopus @HeyOctopus_]

Introducing OctopusChat, a new feature that enables you to chat with learning contents!

Ask HeyOctopus questions about YouTube videos, papers or blog articles to test your understanding.

Built with @langchain @OpenAI @huggingface and @activeloop

https://t.co/Lwwutl8Waw

[HeyOctopus @HeyOctopus_]

Interested in reinforcement learning?

Checkout this introduction by David Silver from @DeepMind. It is the first lecture of a full course on the topic.

Find more recommendations on where to start and where to go next here: https://t.co/8sMjDqATzT

https://t.co/docHfY9vup

[HeyOctopus @HeyOctopus_]

Learning about foundation models?

The introduction of this report by @RishiBommasani and @percyliang et al. from @StanfordCRFM provides a great high-level overview.

Find more learning recommendations for this report here: https://t.co/nmMzbnMh8E

https://t.co/3O10sRwgmo

[HeyOctopus @HeyOctopus_]

Learning about LSTMs?

Then this blog post by Chris Olah (@ch402 ) is a great starting point: https://t.co/pr7YXYwQo0

Find more learning recommendations here: https://t.co/esEaPmdUtP

[HeyOctopus @HeyOctopus_]

Interested in implementing a REST API?

This YouTube playlist by @VeryAcademy explains how using Python, Django and the Django REST Framework.

Find more recommendations on where to start and where to go next here: https://t.co/ccjqVApNGw

https://t.co/lb1zb0at5J

[HeyOctopus @HeyOctopus_]

Trying to understand backpropagation?

As always, @3blue1brown has your back and explains it beautifully animated in this video.

Find some additional learning recommendations here: https://t.co/lWOk5KtDzi

https://t.co/BOe2v8xy1K

[HeyOctopus @HeyOctopus_]

Looking for an efficient way to compare vectors?

In this video @jamescalam gives an in-depth intro to FAISS, an open-source vector database.

His video has been added to our growing knowledge graph of learning recommendations: https://t.co/dgdkicvnLZ

https://t.co/cLrJUHNFVc

[HeyOctopus @HeyOctopus_]

Learning about Transformers?

Then check out this tutorial and related notebooks by @NeelNanda5 where he implements GPT-2 from scratch.

Find more learning context here: https://t.co/4d8VsaVJyR

https://t.co/8HKwy3gt0I

[HeyOctopus @HeyOctopus_]

Want to deploy your own language model?

This notebook by @_philschmid is a great hands-on guide on how to do that using @huggingface and @awscloud SageMaker.

Check out more recommendations on where to start here:
https://t.co/oW6nmRL30d

https://t.co/kAt3RlKVru

[HeyOctopus @HeyOctopus_]

@activeloop Thanks for an awesome Vector DB ;)