Eric J Ma's Website

Tired of writing boring commit messages? 😴 I've got you covered! Introducing llamabot, a CLI tool that uses GPT-4 to craft meaningful commit messages following the Conventional Commits specification. 🚀 Improve collaboration, project management, and debugging with just one command! 🌟 Try it out with pip install llamabot. 🦙

Today, I explored the outlines library and built a coding bot that ghostwrites code, docstrings, and tests! 🤖 With clean prompt design, I was able to create a compact and efficient Python program. The best part? It's super easy to map this to a user interface! 🎉 Check out how I did it and learn about the benefits of using outlines for prompt management. 😄

Today, I discovered a fantastic use for GPT-4: writing improved pull request messages! 🎉 I used a Python package I developed, llamabot, to generate summaries for pull requests. The results were impressive, making the task of reviewing PRs with long diffs much less daunting. 😌

I’ve been working on llamabot and wanted to implement a feature to automatically record prompts and LLM responses. I used a PromptRecorder object with a context manager, similar to PyMC’s pm.Model(). However, I faced a challenge: making the context manager aware of its internal code. 🤔 After some research, I found a solution using the built-in contextvars module. By creating a globally-referenceable prompt_recorder variable, I was able to modify the instantiated PromptRecorder object’s state and call its methods while keeping it hidden from the front-end code. 🎉 Now, llamabot can easily record prompt-response pairs! 🤖

🧐I encountered a tricky problem when working on chromatography: I needed to find x-values on concave curves at a specific height without solving simultaneous equations. Check out my blog post 📝 to see how I went from a simple for-loop solution to using JAX's vmap for a more effective, expressive, and compatible solution. This was a fun programming problem to solve! 🔎📈📊😃

🤖 I've been playing with Large Language Models and found some common patterns. 🧠 So, I created a new package called llamabot! 😎 It lets you make your own Python LLM bot, all with just a few lines of code. 🌬️ It should make experimenting a breeze! 🚀 Are you curious? Read on!

Today, I cracked the code on downloading files from Dropbox programmatically! 🎉 Using Python and the Requests library, I can now store large data files for my tutorials on Dropbox, making my Jupyter notebooks portable and internet-friendly. 🌐 It's like having my own personal CDN! 💽

Are you looking to improve your LinkedIn game? 🚀 In this blog post, I explore the best practices and common mistakes when connecting with others on LinkedIn. Learn how to create quality connections, avoid cold connecting without a note, and ensure your profile is up-to-date! 💼 I also share examples of great LinkedIn messages and resources to help you connect like a pro. Don't miss out on these valuable tips to enhance your professional network! 🌐🤝

(Summary was written by GPT-4 and edited by me.)

I built one application using three different GPT libraries 📚, and figured out that it can give me a 100X ROI! 💰 In this blog post, I compare their outputs, developer experiences, and ⏰ discuss how future application developments may look. Curious about the future of GPT and its value proposition? 🚀

(The summary and title were generated by GPT-4 and edited by me.)

Just tried out the Arc browser and I'm loving it! 😍 It's a game-changer for tab management and focus. With features like expiring tabs, tab spaces, and a side-by-side view, it's like having a personalized workspace right in my browser. 🚀 Even has a developer mode for locally hosted sites. Can't wait to see where they take this!