Python 3.12 Generic Types Explained

This video explores how generic types in Python 3.12 work, and what the advantage is over just using the Any types.

https://www.youtube.com/watch?v=q6ujWWaRdbA

Azure-Samples / chat-with-your-data-solution-accelerator

A Solution Accelerator for the RAG pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.

https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator

Building a Neural Network with PyTorch

Building your first neural network could seem like a formidable undertaking, but deep learning frameworks like PyTorch have made the task more accessible than ever. This article explains how to build a neural network using PyTorch.

https://haydenjames.io/building-a-neural-network-with-pytorch/

The Categories of Bugs in Python Apps

When writing a Python program, errors are inevitable. However, we can manage the types of errors we produce. Let’s explore a simple model categorizing these errors, from best to worst, and discuss how mindful tool usage can improve software quality.

https://threeofwands.com/the-types-of-errors-in-python-apps/

Generative AI for Beginners

A 12 Lesson course teaching everything you need to know to start building Generative AI applications.

https://microsoft.github.io/generative-ai-for-beginners/

pip.wtf

Inline dependencies for small Python scripts.

https://pip.wtf/

easylkb

Easy Linux Kernel Builder.

https://github.com/deepseagirl/easylkb

self-operating-computer

A framework to enable multimodal models to operate a computer.

https://github.com/OthersideAI/self-operating-computer

AILab-CVC / VideoCrafter

VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

https://github.com/AILab-CVC/VideoCrafter

yerfor / GeneFace

GeneFace: Generalized and High-Fidelity 3D Talking Face Synthesis; ICLR 2023; Official code

https://github.com/yerfor/GeneFace

apple-home-key-reader

This project offers a demonstration of an Apple Home Key Reader built in Python.

https://github.com/kormax/apple-home-key-reader

Robot Dad

This is an article about a father who created a chatbot named Robot Dad to answer his son’s questions. The chatbot is able to access and process information from the real world through Google Search. Robot Dad can also be used to translate languages.

https://blog.untrod.com/2023/11/robot-dad.html

Building a small REPL in Python

In a lot of my previous interpreter/compiler projects written in Python I hand-rolled a REPL (read-eval-print-loop). It turns out that Python comes with a bunch of batteries included and this is totally unnecessary—you get a lot of goodies for free. Let’s take a look at how to use them, starting from embedding a normal Python REPL in your project.

https://bernsteinbear.com/blog/simple-python-repl/

sysaidmin

Sysaidmin is a GPT-powered sysadmin for your machine. You can ask it to solve a problem, and it will run commands on your system (with your permission) to debug what's going on.

https://github.com/skorokithakis/sysaidmin/

edarchimbaud / awesome-systematic-trading

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

https://github.com/edarchimbaud/awesome-systematic-trading

Spinning Up in Deep RL

An educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning (deep RL).

https://spinningup.openai.com/en/latest/

Intro to Large Language Models

Andrej Karpathy's talk on introduction to Large Language Models covering the core technical component behind systems like ChatGPT, Claude, and Bard. What they are, where they are headed, comparisons and analogies to present-day operating systems, and some of the security-related challenges of this new computing paradigm.

https://www.youtube.com/watch?v=zjkBMFhNj_g