stanfordnlp / dspy

DSPy: The framework for programming with foundation models

https://github.com/stanfordnlp/dspy

I built an AI doctor with ChatGPT - Full Clinical Experience

The software is designed to test artificial intelligence's ability to perform patient intake, chart notes, and offer investigative and diagnostic aid. However, it is important to note that this software has NOT been tested, validated, or approved by the Food and Drug Administration (FDA) or any other regulatory body for medical devices.

https://www.youtube.com/watch?v=EAger7jOrsA

Seaborn Confusion Matrix: How to Plot and Visualize in Python

Master the art of data visualization with Seaborn confusion matrix plotting. Evaluate model performance like a pro.

https://www.marsja.se/seaborn-confusion-matrix-how-to-plot-and-visualize-in-python/

5 Ways to Measure Execution Time in Python

You can benchmark the execution of Python code using the “time” module in the standard library. In this tutorial, you will discover how to time the execution of Python code using a suite of different techniques.

https://superfastpython.com/benchmark-execution-time/

Octogen

Octogen is an Open-Source Code Interpreter Powered by GPT3.5/4 and Codellama.

https://github.com/dbpunk-labs/octogen

kernel-hardening-checker

A tool for checking the security hardening options of the Linux kernel.

https://github.com/a13xp0p0v/kernel-hardening-checker

Building an API in the cloud in fewer than 200 lines of code

Cloud tools and Python packages have become so powerful that you can build a (scalable) cloud-based API in fewer than 200 lines of code. In this post, you’ll see how to use Google Cloud, Terraform, and FastAPI to deploy a queryable data API on the cloud.

https://aeturrell.com/blog/posts/build-a-cloud-api/build-a-cloud-api.html

mistral-src

Reference implementation of Mistral AI 7B v0.1 model.

https://github.com/mistralai/mistral-src

A tool that detects, extracts templates, and structures logs, via GPT-4.

A command-line tool that detects, extracts log templates, and structures logs to in-process database, leveraging template patterns generated by GPT-4.

https://github.com/ethe/log2row

Python variables, references and mutability

SummaryThe analogy of putting things in a box that works for most languages to explain variables ...

https://www.bitecode.dev/p/python-variables-references-and-mutability

Exploring Wordle

This article will show you how to solve Wordle programmatically using Python.

https://www.georgevreilly.com/2023/09/26/ExploringWordle.html

stepping

Incremental View Maintenance for Python application developers.

https://stepping.site/

cloud_benchmarker

Cloud Benchmarker automates performance testing of cloud instances, offering insightful charts and tracking over time.

https://github.com/Dicklesworthstone/cloud_benchmarker

ECTO-1A / AppleJuice

Apple BLE proximity pairing message spoofing

https://github.com/ECTO-1A/AppleJuice

Scaling Large (Language) Models with PyTorch Lightning

Learn about techniques to train large models like Llama and Stable Diffusion using PyTorch Lightning.

https://lightning.ai/blog/scaling-large-language-models-with-pytorch-lightning/

LangChain Crash Course for Beginners

LangChain is a framework designed to simplify the creation of applications using large language models. It makes it easy to connect AI models with a bunch of different data sources so you can create customized NLP applications.

https://www.youtube.com/watch?v=lG7Uxts9SXs

BoTorch

BoTorch is a library for Bayesian Optimization research built on top of PyTorch.

https://botorch.org/