Python Weekly (Issue 602 June 1 2023)

Python Weekly - Issue 602

June 01, 2023

Python Weekly

Welcome to issue 602 of Python Weekly. Let's get straight to the links this week.

From Our Sponsor 

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Articles, Tutorials and Talks

Andrej Karpathy's talk about the training pipeline of GPT assistants like ChatGPT, from tokenization to pretraining, supervised finetuning, and Reinforcement Learning from Human Feedback (RLHF). Dive deeper into practical techniques and mental models for the effective use of these models, including prompting strategies, finetuning, the rapidly growing ecosystem of tools, and their future extensions.

This report provides insights into the evolving data landscape, highlighting the increasing importance of AI and machine learning and the challenges organizations face in harnessing the power of data for innovation and growth.

Understanding how to accurately represent monetary values in Python is crucial for building financial applications, analyzing data, or simply improving your coding skills. This tutorial explores the various techniques and best practices for effectively working with money.

This post provides useful tips and tricks for optimizing Python projects with Makefiles. These tricks can help to improve the efficiency and productivity of development.

The post discusses the challenges and limitations of using Celery, a distributed task queue framework in Python, highlighting issues related to scalability, error handling, and deployment complexities.

The post delves into the techniques and benefits of using simultaneous multiprocessing and multithreading for ETL (Extract, Transform, Load) processes. It explores how leveraging these parallel processing approaches can significantly improve the performance and efficiency of ETL tasks, resulting in faster data processing and enhanced overall productivity.

PyPI will require all users who maintain projects or organizations to enable one or more forms of two-factor authentication (2FA) by the end of 2023. 

The author discusses a Python script he created that helps identify and remove unused dependencies in Python projects, improving code efficiency and reducing unnecessary bloat. The post provides a step-by-step guide on how to use the script and highlights its benefits for developers.

Interesting Projects, Tools and Libraries

An API store for LLMs.

Build Python LLM apps in minutes.

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

An Open-Ended Embodied Agent with Large Language Models.

Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs.

Olive is an easy-to-use hardware-aware model optimization tool that composes industry-leading techniques across model compression, optimization, and compilation.

Infrastructure for building useful Autonomous Agents.

Real-time transcription of audio, integrated with ChatGPT for interactive use. Save, load, and append transcripts for effective context management in conversations.

An open-source visual programming environment for battle-testing prompts to LLMs.

Upcoming Events and Webinars

There will be following talks

  • How to DocumentAI - Document Understanding Models in Action

  • How to Build an Open-Source Machine Learning Platform in Biology?

There will be following talks

  • British Cycling Data Platform in Python

  • Exploring data visualizations packages with Python

There will be a talk, Instruction fine-tuning RedPajama INCITE LLM.

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