101–110 of 128 posts
My company uses it to parse terms and conditions documents into structured JSON. It's saved us from hiring another person to go through these documents which is a massive benefit for a small company
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Just curious how the data flow works. Are you sending information to both places, CGenie and OpenAI? Full disclosure, I have never used CGenie. I know you can turn off data collection at OpenAI, can you do the same with them?
The VSC extension is just a conduit to the OpenAI API. You use your own API key. I haven’t dug into the exact data flow, however, so I can’t speak to whether the extension is collecting any or what data itself.
I built a solution to take my ChatGPT Plus subscription every with me on the computer. Juggling browser windows was frustrating.
I’d really appreciate feedback from you guys. Hope it’s helpful.
www.constitute.ai
I'm wearing a lot of hats at the moment since we're still in startup mode so the list is pretty varied: - I ask it to create list of questions that different personas might want to answer with our reports section. I then ask it to categorize those questions & to then provide suggestions for graphs & dynamic filters that would help answer those questions. - I ask it for help translating emails and documents for intern…
> I gut check things with Google when I feel like it might be hallucinating but generally it does really well ~ 90% of the time. Saves lots of time compared to going to Google first. I was asking chatGPT give me boilerplate for Fabricjs Object today and it added a random object property which was nowhere to be found on official docs. At first I thought it was amazing to get a real looking code but upon testing I was…
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I agree with your experience, and am curious as to what the difference between the two scenarios is.
I always wanted to do this very specific in Django. I don't work with Python,so even though I knew what I want to do,but my skills weren't there to create working code. So I thought I'll throw the problem at chatGPT. The generated code had a couple of flaws, but I managed to fix them in 15 min or so and got a working result. The code also gave me some interesting perspective on how some things could be implemented.
If I ask it detailed questions about the topic I did my PhD on, it can’t answer correctly. I worked on fluid dynamics for a couple of years in my first role, and there is a well known algorithm called SIMPLE for computing time evolution of steady state problems, and it couldn’t generate code for this even with lots of playing with prompts.
I do web stuff more these days and I couldn’t get it to output a fully working React hook in Typescript that POSTs with Axios; there was always some sort of type error.
I'm working on a site right now where I use the API to generate me full summaries of AI sites. Features, excerpts, descriptions. It works really nice. I find it works best when you split the prompts up.
I hadn't coded in ages. I started a hobby project to see whether I could remember enough to "set up a cute chatbot over email" with ChatGPT's API.
At some point, ChatGPT asked me what added value users would get from the project. That was an interesting question!
It was also an excellent example of how this project became more of a collaboration instead of a one-way street of asking ChatGPT to do stuff. The back-and-forth brings in added value beyond each of our contributions.
So we (the AI and I) decided to document this collaborative journey on the project. So far, we've worked on:
1. Planning the project and pieces of it: excellent for frameworks, ideas, and feedback.
2. Coding + tech setup: we wrote about six superpowers, from choosing between options (like AWS vs. GCP vs. Zapier) to learning code best practices and more.
3. Building a website with ChatGPT and other AI tools in a day.
4. Making a video for social media.
And there are other parts we'll continue to write about. For anyone interested, you can read more at: https://dearai.substack.com/p/introduction
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I always wanted to do this very specific in Django. I don't work with Python,so even though I knew what I want to do,but my skills weren't there to create working code. So I thought I'll throw the problem at chatGPT. The generated code had a couple of flaws, but I managed to fix them in 15 min or so and got a working result. The code also gave me some interesting perspective on how some things could be implemented.
That’s interesting since I threw some questions at it about Django and I didn’t think it gave very idiomatic patterns for it.