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News & links about Python programming.
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How LLMs Work, Explained Without Math

A basic question I think a lot of people have about the GenAI revolution is where does the apparent intelligence these models have come from. In this article, I'm going to attempt to explain in simple terms and without using advanced math how generative text models work, to help you think about them as computer algorithms and not as magic.

https://blog.miguelgrinberg.com/post/how-llms-work-explained-without-math
relax-py

A Python web development framework for htmx and tailwindcss, with hot module replacement, URL locators, dependency injection, supported by static typing, built on top of Starlette.

https://github.com/crpier/relax-py
A High-Level Technical Overview of Fully Homomorphic Encryption

The article provides a high-level technical overview of fully homomorphic encryption (FHE), a powerful cryptographic technique that allows computations to be performed on encrypted data without decrypting it first. It discusses some of the key FHE libraries and tools under active development.

https://www.jeremykun.com/2024/05/04/fhe-overview/
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DrEureka

Language Model Guided Sim-to-Real Transfer.

https://eureka-research.github.io/dr-eureka/
Master Python & Zoom API | Build a Server-to-Server App That Transcribes Recordings

Learn how to use Zoom's API with Python in this step-by-step guide! In this tutorial, you'll learn how to create a robust server-to-server OAuth application that automatically transcribes your Zoom recordings, prints them directly to your terminal, and saves them as text files. Perfect for developers, this tutorial will take you from setup to execution, so you'll have a fully functional ...

https://www.youtube.com/watch?v=sQVliRl5uKw