I think that will be very possible soon! We continue to write about it publicly :) Also thanks to my friends and colleagues who write a lot on this subject that I frequently collaborate with:
Really good article. I was discussing this with Shreya (the author), and an interesting insight was that prompting a LLM to follow these instructions do not work reliably.
I’ve had similar frustrations. Maybe the next thing to try is fine tuning? Curious what others think.
I am a python developer who has been envious of modern application dev frameworks
& typescript, but never had the time to invest in another stack. This is so exciting. I suspect this might be catalyst that empowers more people to ship stuff
Hi I'm Hamel, author of this blog post. A few months ago, I hosted a course on applied-llms that went viral https://maven.com/parlance-labs/fine-tuning and became a conference organically with 30+ speakers.
I thought it would be tragedy if this material were perpetually locked behind a paywall, so I worked hard to curate all the talks and make it freely available to everyone. I hope it is beneficial to everyone.
Hi, Hamel here. I'm one of the co-authors. I'm an independent consultant and not all clients allow me to talk about their work.
However, I have two that do, which I've discussed in the article. These are two production use cases that I have supported (which again, are explicitly mentioned in the article):
Eugene Yan works with LLMs extensively at Amazon and uses that to inform his writing: https://eugeneyan.com/writing/ (However he isn't allowed to share specifics about Amazon)
Good question! Yes we did talk to Anaconda (we talked to Peter Wang), and they seemed interested in related but slightly different approaches. Some of their forays into exploratory programming are pyscript https://pyscript.com/, the also acquired python anywhere https://www.pythonanywhere.com/, which is sort of like Wordpress for Python developers!
We ended up partnering with Posit (formerly RStudio) a bit more on this at this was a bit more natural in terms of alignment of product and vision. You should definitely keep an eye on Posit (https://posit.co/) to see what they come up with in this space.
I don't think there was an opportunity to "be acquired" (not sure if that was what you were asking) because we didn't get far enough down the commercialization path to justify that.
Hamel here, one of the core developers on this project. I just want to say that we are really excited about this new release of nbdev and the added functionality it brings to users. The thing I'm most excited about is that you can use nbdev for more things than ever before, such as: Documenting existing codebases (even if they aren't written in nbdev), blog posts, books, presentations, etc.
We also have an amazing notebook runner, as well as many other quality of life improvements. We will be adding more tutorials, walkthroughs and examples in the coming days. If you are interested in using nbdev please get in touch!
Hi, I'm Hamel, I'm one of the people who contributed to this project. I think this is a really great blogging platform for data scientists because:
- Visualizations can remain interactive
- You can write your entire blog post in a Jupyter notebook and deploy it to your blog with a click
- No nagwalls or paywalls (Like you might get w/Medium)
- It's hosted on GitHub Pages, so it's free
- Its portalbe, so you can take your data elsewhere anytime.
This project is a repository template on GitHub, which means its super easy to setup and get started. Its powered by the really cool nbdev project https://github.com/fastai/nbdev, which enables lots of other cool features for blogging!