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Using Generative AI To Curate Date Recommendations
Utilizing Amazon Bedrock, Google Places, LangChain, and Streamlit
The true power of Generative AI is realized when it helps people simplify or automate day to day activities and tasks. Some examples of these tasks include: email/message summarization, resume builders, and more. Specifically, this past week I was trying to plan an interesting date night for my girlfriend and I realized there was no set tool that could give an end to end date idea depending on both of our interests.
Sure I could use Google and stitch together a bunch of different places, but this took time and a lot of research (I also always end up on Reddit lol). Alternatively, I tried using something like ChatGPT directly, but realized a lot of the suggestions included places that were more outdated and didn’t really contain the latest and greatest suggestions due to the model being trained at an earlier time.
In one of my previous articles, we discussed how we could generate music recommendations using LangChain Agents in conjunction with the Spotify API. Today we’ll take not just a different API, but a slightly different approach than the Agent driven solution we followed in the music recommendation solution to curate date night ideas.
