Development with Large Language Models Tutorial – OpenAI, Langchain, Agents, Chroma

Throughout this course, you will complete hands-on projects will help you learn how to harness LLMs for your own projects. You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.

https://www.youtube.com/watch?v=xZDB1naRUlk

GPU-Accelerated, Deterministic ML Dev Environments with Docker and CUDA

A Better Way to Build Your AI Enhanced Project.

https://www.makeartwithpython.com/blog/developing-machine-learning-applications/

VisionScript

A high-level programming language for using computer vision.

https://github.com/capjamesg/visionscript

nl2query

A framework for converting natural language text inputs to corresponding Pandas, MongoDB, Kusto and Neo4j (Cypher) queries.

https://github.com/Chirayu-Tripathi/nl2query

Asyncio, twisted, tornado, gevent walk into a bar...

SummaryConcurrency has a lot to do with sharing one resource, and Python has dedicated tools to ...

https://www.bitecode.dev/p/asyncio-twisted-tornado-gevent-walk

Understanding Immortal Objects in Python 3.12: A Deep Dive into Python Internals

A detailed examination of Python 3.12's internal changes featuring the concept of 'immortal' objects, for performance enhancements

https://codeconfessions.substack.com/p/understanding-immortal-objects-in

facefusion

Next generation face swapper and enhancer.

https://github.com/facefusion/facefusion

hegelai / prompttools

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

https://github.com/hegelai/prompttools

How to implement CommandBus in Python

CommandBus is a communication mechanism used to decouple the sender of a command from its handler or executor. It is a part of the Command Pattern and is commonly used in applications that follow the CQRS (Command Query Responsibility Segregation) pattern or other similar architectural styles. This article provides a comprehensive guide on implementing the CommandBus in Python

https://blog.szymonmiks.pl/p/how-to-implement-commandbus-in-python/

Composition over inheritance: The case for function-based views

The author shares some of his thoughts re. function- vs class-based views in Django.

https://406.ch/writing/composition-over-inheritance-the-case-for-function-based-views/

Fixit 2: Meta’s next-generation auto-fixing linter

Fixit is dead! Long live Fixit 2 – the latest version of our open-source auto-fixing linter. Fixit 2 allows developers to efficiently build custom lint rules and perform auto-fixes for their codebases.

https://engineering.fb.com/2023/08/07/developer-tools/fixit-2-linter-meta/

seamless_communication

SeamlessM4T is designed to provide high quality translation, allowing people from different linguistic communities to communicate effortlessly through speech and text.

https://github.com/facebookresearch/seamless_communication

Structuring your Infrastructure as Code

The author proposes a layered approach to IaC, with each layer representing a different aspect of your infrastructure. This approach makes it easy to isolate changes to different parts of your infrastructure, and to reuse code across different environments.

https://leebriggs.co.uk/blog/2023/08/17/structuring-iac

karpathy / llama2.c

Inference Llama 2 in one file of pure C

https://github.com/karpathy/llama2.c

A Comprehensive Guide to Python Logging with Structlog

Structlog is an open-source logging tool for Python known for its simple API, performance, and quality of life features. This tutorial explores the essential aspects of Structlog.

https://betterstack.com/community/guides/logging/structlog/

AttackGen

AttackGen is a cybersecurity incident response testing tool that leverages the power of large language models and the comprehensive MITRE ATT&CK framework. The tool generates tailored incident response scenarios based on user-selected threat actor groups and your organization's details.

https://github.com/mrwadams/attackgen