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TroyZ

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[untitled]

1 points·by TroyZ·vor 3 Jahren·0 comments

Ask HN: How to augment LLM/GPT with structured data in a safe way?

2 points·by TroyZ·vor 3 Jahren·0 comments

Show HN: A Collection of AI Professional Prompts

github.com
2 points·by TroyZ·vor 3 Jahren·0 comments

[untitled]

1 points·by TroyZ·vor 3 Jahren·0 comments

comments

TroyZ
·vor 2 Jahren·discuss
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TroyZ
·vor 2 Jahren·discuss
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TroyZ
·vor 3 Jahren·discuss
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TroyZ
·vor 3 Jahren·discuss
- Top ML papers of the week: https://github.com/dair-ai/ML-Papers-of-the-Week

- Daily Newsletter on AI: https://tldr.tech/ai

- Subreddit about open-source LLM advancements: https://www.reddit.com/r/LocalLLaMA/
TroyZ
·vor 3 Jahren·discuss
Here are some options:

- Streamlit for very simple frontend, you can code in Python.

- TailwindCSS + Vue. Very easy to pickup and you can learn only a small part of it to get your website working. (There are many templates of components to get you going quickly).

I'm actually the opposite, I know some frontend but struggle to get backend working for my side projects.
TroyZ
·vor 3 Jahren·discuss
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TroyZ
·vor 3 Jahren·discuss
Fine-tuning is probably not the way to do it.

Try embedding, semantic search, retrieval, and plugging the relevant parts into the prompt.

You may need: - summarizer prompt to summarize your project structure, main functions, methods. - vector store/database to store and retrieve your relevant code from code base - coder prompt to write code based on the retrieved part.

Check out langchain: https://langchain.readthedocs.io/
TroyZ
·vor 3 Jahren·discuss
https://obsidian.md/
TroyZ
·vor 3 Jahren·discuss
For a high level overview of transformers/GPT, you can check out this article: https://medium.com/design-bootcamp/how-chatgpt-really-works-...

The article provides references to the original papers and other articles explaining the subject, which can be great sources to dive deeper.
TroyZ
·vor 3 Jahren·discuss
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