TroyZ

5 ms·

1. 1.▲
   by TroyZ 3y ago

   - 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.reddi
2. 2.▲
   by TroyZ 3y ago

   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
3. 3.▲
   Ask HN: How to augment LLM/GPT with structured data in a safe way?

   2 points by TroyZ 3y ago|0 comments
4. 4.▲
   Show HN: A Collection of AI Professional Prompts(github.com)

   2 points by TroyZ 3y ago|0 comments
5. 5.▲
   by TroyZ 3y ago

   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. - vect
6. 6.▲
   by TroyZ 3y ago

   https://obsidian.md/
7. 7.▲
   by TroyZ 3y ago

   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 artic
8. 8.▲
   by TroyZ 5y ago

   You can actually easily incorporate activities in your daily routines. Get a standing desk, do some quick stretches/body-weight exercise after 40 min of coding, march/bike in place while watching videos/TV, stroll afer meals,