There’s been an explosion of AI research papers being published (see arxiv growth https://www.researchgate.net/figure/Number-of-papers-publish...). As AI/ML founders it was difficult to find papers that actually aligned with our goals and often skimmed through many unrelated papers. It would be nice to have a way to sift through the noise.
This last week, we built https://firebender.ai/. It takes in a description of what you’re trying to accomplish, and on a weekly basis, delivers TLDRs of recent AI papers you'd most likely want to dive into. Here’s a sample description and curated list (https://firebender.ai/sample). It works by indexing new Arxiv papers (LDA, elasticsearch), then GPT-4 generates queries, summarizes results, and does the final round of filtering.
Sign up at https://firebender.ai/ and look out for an email on Friday! Any and all feedback is appreciated.
