I'm working on a research project that aims at applying next-token-prediction models to build/improve recommender systems. As a feasibility assessment study, I built and trained a GPT model to predict the next product to buy using the Instacart dataset. To be more specific, I treated each product_id as a "word", each order as a "sentence" and each user's...

I'm currently searching for an open Source model that can create a short 3D video out of a 2D image. The video would just kind of show a zoom in zoom out or something like that, like for example with Immersity Ai, which unfortunately cost quite a lot of money. Does somebody know anything thats free, it would be best if its an open source model. I have...

With the field moving fast and models being released every day, there's a need for comprehensive benchmarks. With trustworthy evaluation you and I can know which LLM to choose for our task: coding, instruction following, translation, problem solving, etc. TL;DR: The article dives into the challenges of evaluating large language models (LLMs). 🔍 From...

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Hello ! I'm working on an app where I would need a way to search keywords in a set of scientific papers (i.e. find the documents that speak about a query). I need to handle synonyms, errors etc. I thought that the best idea would be a vector search. But I don't really know what is the current SOTA for that. I know SBERT, but I'm not sure it's the best...

I built a toy shop, modeled after the Moonlighter game's, and a Bayesian bandits agent to choose and price items for sale via Thompson sampling. Customer reactions (i.e. 'angry', 'sad', 'content', 'ecstactic') to these items at their shelf prices updated ideal (i.e. highest) price probability distributions (i.e. posteriors) as the simulation progressed....