OpenAI Embeddings For Recommendations Systems
Вставка
- Опубліковано 22 сер 2024
- In this video we learn how to use OpenAI's text embedding API for search and recommendations.
Docs: platform.opena...
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Extremely good video, exactly what I was looking for for my project ! Thank you so much
Nice and educational video that clearly describes the issue. Well done!
1:45 Thanks for the video. But they dont give any credits anymore, as far as I know. So, sadly, not able to follow along
Sorry if I missed this. But what exactly was the data that you uploaded into the vector database that you’re matching the open AI vector embedding with?
cool! thanks for the great content!!
Hi, I have a question about implementing article recommendations for my website. I want to input an article, and the code should return recommended articles with descriptions based on the dataset in the CSV. I'm unsure about the real use case scenario when integrating the website. Do I need to manually query all data from my database and update my CSV for the latest recommendations, or is there a more automated and best practice approach for implementing machine learning, specifically for article recommendations using OpenAI embedding? I lack experience in this area and would appreciate guidance.
How can I install 'faiss' on a Windows system?
(pip install faiss-gpu - does not work)
Use WSL
Ohh good
Thx_.
coding is like solving a puzzle to unlock the futur...please review pygame code
Go away, how's that for the future.
So we're just going to talk about the latest fads and gimmicks that 99.9% of the audience won't ever use? I miss the old days of just doing videos of real-world, practical applications.
100 million users per month.... hmm yup sounds like fad to me 👍