Performance of Vector Databases

The talk explores the role of vector databases in enhancing AI applications like Retrieval-Augmented Generation (RAG), focusing on high-dimensional embeddings crucial for machine learning. Egor Romanov delves into creating a Postgres provider integrated with pgvector, utilizing a Python performance evaluation framework to simulate similarity search tests and unveil latent performance pot...

https://www.youtube.com/watch?v=-MYYB0QjV6I

wafer

Wafer is a simple but effective web application firewall (WAF) fuzzing tool.

https://github.com/sysdig/wafer

scrapscript.py

The article introduces a small, pure, functional, content-addressable, network-first programming language designed to create small, shareable programs. It discusses the language's features and its implementation, highlighting its purpose and the collaborative effort behind its development. The article provides insights into the motivation and design principles of Scrapscript, as well as ...

https://bernsteinbear.com/blog/scrapscript/

Method chaining in Pandas

What is method chaining in Pandas? How does it work, and how can you use it?

https://www.youtube.com/watch?v=39MEeDLxGGg

SGLang

SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable.

https://github.com/sgl-project/sglang

finagg

A Python package for aggregating historical data from popular and free financial APIs, and for transforming that data into features for AI/ML.

https://github.com/theOGognf/finagg

Python packaging must be getting better - a datapoint

I “pip install”ed my app on Windows and everything just worked. Something is going right.

https://lukeplant.me.uk/blog/posts/python-packaging-must-be-getting-better-a-datapoint/

Real Case usage of Python Metaclasses

Three examples applying Python Metaclasses

https://dev.to/anbagu/real-case-of-python-metaclass-application-2pj8

Getting Started With CUDA for Python Programmers

In this tutorial, Jeremy Howard demystifies CUDA programming for NVIDIA GPUs, particularly focusing on its accessibility when combined with PyTorch. The hands-on tutorial, conducted in a Colab notebook, guides viewers through practical examples, starting with simple tasks like converting an RGB image to grayscale, and progressing to more advanced topics like matrix multiplication. The em...

https://www.youtube.com/watch?v=nOxKexn3iBo

Profiling your Numba code

Learn how to use the Profila profiler to find performance bottlenecks in your Numba code.

https://pythonspeed.com/articles/numba-profiling/

Mix Python and Rust for Production CLIs

The video outlines an effective workflow for combining Python and Rust - use PyO3 to call Python from Rust CLIs, leverage Rust's safety and Python's libraries, add testing to validate logic, automate processes, and deliver binaries to users.

https://www.youtube.com/watch?v=GBZoWervz3s

Running Open Source LLMs In Python - A Practical Guide

Unleashing AI Power on Your Laptop.

https://christophergs.com/blog/running-open-source-llms-in-python

Deep Dive Into the Repository Design Pattern in Python

A closer look at the repository design pattern in Python. This is a very useful pattern that allows you to keep your data storage separate from your data operations.

https://www.youtube.com/watch?v=9ymRLDfnDKg

Exploring the GPT-4 with Vision API using Images and Videos

All you need to know to understand the GPT-4 with Vision API with examples for processing Images and Videos.

https://jstoppa.com/posts/exploring_the_gpt_with_vision_api_image_and_video/post/