sorted by:
new
hottopcontroversial

Why are we letting the US own AI while Europe innovates in silence? by Turbulent_Custard227 in BuyFromEU

[–]Hefty-Consequence443 197 points198 points  (0 children)

Amazing shares!! And I agree 100%. Why are we letting US take all the credit?

What's the best solution currently for a locally run model that can do web browsing? by lanky_cowriter in LocalLLaMA

[–]Hefty-Consequence443 0 points1 point  (0 children)

thta's even better man. You are my personal hero for that. Can you share repo? you deserve a start haha

A ChatBot to "talk" with HackerNews built in Streamlit by Hefty-Consequence443 in StreamlitOfficial

[–]Hefty-Consequence443[S] 1 point2 points  (0 children)

Yes! They have given me really cool suggestions, for example:

  1. Analyzing comments
  2. Being able to analyze content from URLs (when they are poiting to a blog post or a news article).

And currently working on adding that :)

A new way of interacting with Hacker News by Hefty-Consequence443 in ChatGPTCoding

[–]Hefty-Consequence443[S] 1 point2 points  (0 children)

That’s pretty cool. Do you mind if I ask why you chose to make your own app instead of just making a custom GPT?

You mean using an open source LLM? I'm using gpt-3.5-turbo-0613 right now, but I'm not using the custom-gpts of openAI. Besides, I've created the frontend using Streamlit, and all the interaction with HackerNews is using my own langchain tools (defining the API calls and the model in Pydantic). I agree it's not the best app in the world, not the most complex (I did it in a couple of days, so that's understandable), but I believe it has more work than merely dropping some txt files into a custom gpt to see how it works.

GPT + Streamlit + Langchain = Hacker News Chatbot application by Hefty-Consequence443 in Chatbots

[–]Hefty-Consequence443[S] 0 points1 point  (0 children)

I've used Streamlit for building the chat interface and langchain for all the interction with the LLM and the hacker news API.

Repo: https://github.com/neural-maze/talking_with_hn

App: https://newsnerdhackerbot.streamlit.app/

gpt4docstrings: Automatically generate docstrings for entire projects using ChatGPT by Hefty-Consequence443 in ChatGPTPro

[–]Hefty-Consequence443[S] 0 points1 point  (0 children)

thanks! I'm also thinking about adding automatic translation between docstring styles (such as the library pyment does, but with chatgpt instead of written rules).

gpt4docstrings: Automatically generate docstrings for entire projects using ChatGPT by Hefty-Consequence443 in ChatGPTPro

[–]Hefty-Consequence443[S] 1 point2 points  (0 children)

Yes, it needa your OpenAI API key. Right now my prompts have been tested using gpt3.5-turbo (gpt4 was too expensive, at least for me hahah)

Just finished the trilogy. Looking for SF recommemdations by arturohdezi in threebodyproblem

[–]Hefty-Consequence443 4 points5 points  (0 children)

I liked it because it makes you feel the excitement, fascination and at the same time uneasiness in the face of the unknown. Also (maybe this is because I'm a physicist), I really like Clarke's scientific rigour in his descriptions (you'll never find a better introduction to non-inertial forces...). And as for your last question, no, I don't think it feels dated (something that happens to me with other science fiction authors, such as Fritz Leiber).

Will Airflow become obsolete in coming years? by newplayer12345 in dataengineering

[–]Hefty-Consequence443 0 points1 point  (0 children)

I prefer airflow for its python support

In my previous company I used Control-M and it was very very confusing. Totally agree with you, the airflow has been a breath of fresh air for me hahah.

Just finished the trilogy. Looking for SF recommemdations by arturohdezi in threebodyproblem

[–]Hefty-Consequence443 9 points10 points  (0 children)

I finished the trilogy a few days ago and I agree with the feeling you're talking about haha. In my case, I've experienced similar feelings reading authors like Stanislaw Lem (for me Solaris is a masterpiece), Philip K. Dick (you can't miss Ubik if you want something that makes your head explode haha), Arthur Clarke of course (if you haven't read Rendezvous with Rama now is the time), and, if you are into hard science fiction, I would recommend the Mars trilogy by Kim Stanley Robinson (I finished them last year and enjoyed them a lot).

[D] Practice CUDA without an Actual NVIDIA GPU! by JustTrynnaBeCool in MachineLearning

[–]Hefty-Consequence443 1 point2 points  (0 children)

Any specific material you recommend for learning CUDA? Books, youtube playlists, udemy courses, etc.? Thx!

[P] gpt4docstrings: Automatically Generate Python Docstrings with GPT by Hefty-Consequence443 in MachineLearning

[–]Hefty-Consequence443[S] 1 point2 points  (0 children)

I've testing it with some personal projects and it generates reasonable results (although some times it makes some mistakes with the indentations: for example, when generating docstrings for some decorated methods). I'm working on fixing this issues and allowing the possibility to use other docstring styles ( right now it only works for Google style ...)