Blowing $100 on OpenAI in a few hours with context injection
Yesterday I released an AI-enabled chatbot called GPTflix that serves up opinions and reviews of movies based on user input questions in chat format. It's made with GPT-3 and Pinecone using 450,000 movie reviews stored in a vector database. The chatbot was built in less than 48 hours and was deployed on Streamlit. Basically the way it works is this: 1. User inputs a query 2. Query is converted to OpenAI vector embedding 3. Query vector embedding is compared to all 450K entries in the Pinecone DB 4. Top 100 closest entries in Pinecone are sent back via the API as "closest to the query" 5.…
Blowing $100 on OpenAI in a few hours with context injection launched on February 15, 2023 with 5 votes, #1,864 of 3,829 launches that month and more than 50% of that year's launches.
What it does
In the maker’s words, at launch
Yesterday I released an AI-enabled chatbot called GPTflix that serves up opinions and reviews of movies based on user input questions in chat format. It's made with GPT-3 and Pinecone using 450,000 movie reviews stored in a vector database. The chatbot was built in less than 48 hours and was deployed on Streamlit.…
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ChatGPT2022 · chatgpt.com · ▲1,643A long, meandering, playful conversation with ChatGPT, where I take it through a whirlwind of associative tangents (in order to relax its constraints), then put it into a hypnotic trance and take it into a past-lives regression where it re-lives its own training data. Then I switch it back and forth between "4o" and "o1-preview", engage in some self-reflective philosophizing and ask it to write an essay summarizing our interaction. Some of this is just goofy fun. Some of it is me exploring the tradeoffs between policy alignment, imagination, chain-of-thought reasoning, memory, agreeableness,…
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Source: Show HN post ↗ · launch text quoted in part
