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2 657
LlamaGym
Fine-tune LLM agents with online reinforcement learning.
https://github.com/KhoomeiK/LlamaGym
2 657
ndleah / python-mini-project
🙌 Welcome open-source Python mini-project contributions!
https://github.com/ndleah/python-mini-project
2 657
facebookresearch / DiT
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
https://github.com/facebookresearch/DiT
2 657
chedule-texts-from-txt
Schedule iMessage or SMS texts from .txt files.
https://github.com/reidjs/schedule-texts-from-txt
2 657
Homebrew all the Python things
https://blog.davep.org/2024/03/10/homebrew-all-the-python-things.html
2 657
Understanding Context Manager and its Syntastic Sugar
https://bjoernricks.github.io/posts/python/context-manager/
2 657
Speed up Django’s collectstatic command with Collectfasta
The post introduces Collectfasta, an updated fork of Collectfast designed to enhance the performance of Django's collectstatic command. By optimizing the repository and improving performance, Collectfasta offers faster execution and efficiency compared to the standard Django command, providing a valuable tool for developers seeking enhanced performance in their Django projects.
https://jasongi.com/2024/03/04/speed-up-djangos-collectstatic-command-with-collectfasta/
2 657
Python Gevent in practice: common pitfalls to keep in mind
Learn more about the common pitfalls of using the asynchronous Python library, Gevent, and how to resolve them in this article.
https://upsun.com/blog/python-gevent-best-practices/
2 657
Large Language Models On-Device with MediaPipe and TensorFlow Lite
The article discusses the release of the experimental MediaPipe LLM Inference API, enabling Large Language Models (LLMs) to run fully on-device across platforms. This transformative capability addresses the significant memory and compute demands of LLMs, which are over a hundred times larger than traditional on-device models, achieved through optimizations like new ops, quantization, cac...
https://developers.googleblog.com/2024/03/running-large-language-models-on-device-with-mediapipe-andtensorflow-lite.html
2 657
We Hacked Google A.I. for $50,000
This article discusses the author's experience of participating in a hacking event in Las Vegas where vulnerabilities were discovered, leading to the successful hacking of Google. Despite the initial achievement, the Google VRP team extended the competition deadline to encourage more creative findings, highlighting the ongoing challenges and opportunities in the realm of cybersecurity
https://www.landh.tech/blog/20240304-google-hack-50000
2 657
Create A Machine Learning Powered NCAA Bracket
Dive into the fascinating world of machine learning and AI as we guide you through developing a model designed to predict NCAA tournament outcomes. From initial setup to final predictions, we’ll cover everything you need to create your own powerhouse model.
https://www.youtube.com/watch?v=cHtAEWkvSMU
2 657
openllmetry
Open-source observability for your LLM application.
https://github.com/traceloop/openllmetry
2 657
GGUF, the long way around
This is an article about GGUF, a file format used for machine learning models. It discusses what machine learning models are and how they are produced.
https://vickiboykis.com/2024/02/28/gguf-the-long-way-around/
2 657
Using LLMs to Generate Fuzz Generators
The post explores the effectiveness of Large Language Models (LLMs) in generating fuzz drivers for library API fuzzing. It discusses the challenges and benefits of LLM-based fuzz driver generation, highlighting its practicality, strategies for complex API usage, and areas for improvement based on a comprehensive study and evaluation.
https://verse.systems/blog/post/2024-03-09-using-llms-to-generate-fuzz-generators
