PythonHub

LAMBDA A local AI-powered email automation system that learns from your email style and creates draft responses for every unread email in your (Gmail) inbox. https://github.com/zycyc/LAMBDA

garak garak checks if an LLM can be made to fail in a way we don't want. garak probes for hallucination, data leakage, prompt injection, misinformation, toxicity generation, jailbreaks, and many other weaknesses. https://github.com/NVIDIA/garak

PacktPublishing / LLM-Engineers-Handbook The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices https://github.com/PacktPublishing/LLM-Engineers-Handbook

Benchmark: DuckDB, Polars, Pandas, Arrow, SQLite, NanoCube on filtering / point queryies https://www.reddit.com/r/Python/comments/1gyoi7n/benchmark_duckdb_polars_pandas_arrow_sqlite/

Ultravox A fast multimodal LLM for real-time voice. https://github.com/fixie-ai/ultravox

Deply Keep your Python architecture clean. https://github.com/Vashkatsi/deply

MagicQuill An Intelligent Interactive Image Editing System. https://github.com/magic-quill/MagicQuill

Is Python Really That Slow? The post explores Python's perceived slowness, highlighting that it stems from its interpreted nature and focus on developer productivity rather than raw performance. By leveraging tools like C extensions, async programming, or just-in-time compilers, developers can often overcome performance concerns effectively. https://blog.miguelgrinberg.com/post/is-python-really-that-slow

EasyAnimate An End-to-End Solution for High-Resolution and Long Video Generation Based on Transformer Diffusion. https://github.com/aigc-apps/EasyAnimate

Is async django ready for prime time? Explore async Django's readiness for production use, its benefits, challenges, and how AI workloads can leverage its capabilities effectively. https://jonathanadly.com/is-async-django-ready-for-prime-time

Introducing DjangoVer The article introduces DjangoVer, a versioning system for Django-related packages that aligns the package version with the latest supported Django feature release. It provides clarity on compatibility, signaling maintenance and compatibility status through the version number while addressing limitations of traditional versioning systems like Semantic Versioning. https://www.b-list.org/weblog/2024/nov/18/djangover/

Flask 3.1.0 Released https://flask.palletsprojects.com/en/stable/changes/#version-3-1-0

Deply: keep your python architecture clean https://www.reddit.com/r/Python/comments/1gthdpy/deply_keep_your_python_architecture_clean/

PyPI now has attestation. Thanks I hate it. https://www.reddit.com/r/Python/comments/1gs05hm/pypi_now_has_attestation_thanks_i_hate_it/

Python Hub Weekly Digest for 2024-11-24 https://pythonhub.dev/digest/2024-11-24/

Everything I've learned so far about running local LLMs A post about running large language models (LLMs) locally on a computer. It discusses what LLMs are and how to set them up to run on your own machine. The article also covers some of the limitations of LLMs, but highlights their potential for tasks like proofreading and creative writing. https://nullprogram.com/blog/2024/11/10

TransformerEngine A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference. https://github.com/NVIDIA/TransformerEngine

CPython's Garbage Collector and Its Impact on Application Performance https://blog.codingconfessions.com/p/connecting-cpythons-gc-internals

alphafold3 AlphaFold 3 inference pipeline. https://github.com/google-deepmind/alphafold3

Proposal for a Django project template The author's take on what could be a project template for Django advanced usage, with modern tooling (for Python and UI dependencies, as well as configuration/environment management), but not too opinionated. https://david.guillot.me/en/posts/tech/proposal-for-a-django-project-template/