Evidentially there’s an automated component to every level of understanding… Analgoue training: Read a little about fpgas and Fourier analysis generalization of computation… leading to real-time learning signal on chip… then the concept of better than real time time coded resynthesis… further after learning scratch is pretty fast and remembering max...

Please share your journey and lessons. Thanks! submitted by /u/20231027 [link] [comments]

There's been a lot of discussion about benchmark contamination, where models are trained on the data they are ultimately evaluated on. For example, a recent paper showed that models performed substantially better on the public GSM8K vs GSM1K, which was a benchmark recently created by Scale AI to match GSM8K on difficulty and other measures. Because...

HI all I have a lot of pandas dataframes representing features that will be used to train my ML models. To provide more context: Each pandas dataframe is a collection of timeseries (1 column, 1 timeseries) created based on the combination of 5 parameters. Each of these parameters can have up to 5 different values, and one combination of parameters...

Hey everyone, I’m Zach from Superpowered AI (YC S22). We’ve been working in the RAG space for a little over a year now, and we’ve recently decided to open-source all of our core retrieval tech. [spRAG](https://github.com/SuperpoweredAI/spRAG) is a retrieval system that’s designed to handle complex real-world queries over dense text, like legal documents...

submitted by /u/Spystudios [link] [comments]