Project

Generative AI PC Build Log Why With the emergence of generative AI, I finally had a compelling reason to build a new PC. Most deep learning projects require a dedicated GPU, making them difficult to run even on an M1 MBP. While cloud options like Paperspace and Colab exist, the GPUs they provide access to are limited. Paperspace, for instance, only allows access to the most basic GPU and denied my request for access to the RTX 4000. AWS was also an option, but it was somewhat inconvenient to use cost-effectively since you would have to stop the instance and snapshot the volume to save on costs. Having a local GPU is crucial to quickly run experiments at a small scale before deploying them to the cloud to run on bigger hardware. This helps me minimize the feedback loop and make faster progress. I had previously built a computer a couple of times in high school, mostly for gaming. I didn’t have a good reason to do it again until now. ...

TLDR: I built a semantic movie search app with GPT-4. You can check it out here: https://moviesgpt.net/. And here’s the Github repo: https://github.com/sinzin91/moviesGPT the hero keeps forgetting who he is Idea I’ve been thinking a lot about potential products that one can build around LLMs. One idea I mentioned jokingly to some friends was to use GPT as a natural language interface to a movies API. In theory, I thought, you could ask GPT about movies semantically, meaning you could search based on what the movie is about or its content, instead of just raw keyword search. For example, I could search for “movies where all the main characters die” and get back “The Departed”. Then I could use the response to query a movies API like The Movies Database. Google is surprisingly bad at this, returning links to listicles instead of the movies themselves. ...

TLDR I created SocratesGPT to test the concept of using AI to generate questions about a given topic. Its goal you learn topics better by asking you questions about it. I also provide some technical details on the implementation. Why? Over a year ago, I began using Anki, a spaced repetition flashcard app that helps me retain information over the long term by taking advantage of the Ebbinghaus forgetting curve. Memory is like a leaky bucket, and it was incredibly frustrating to realize I’d forgotten most of what I learned. Anki has enabled me to confidently tackle difficult technical topics that I would have otherwise avoided. ...