RealLast

7 ms·

1. 1.▲
   by RealLast 1y ago

   Yep, fully open-source!
2. 2.▲
   by RealLast 1y ago

   You guys are so funny, when papers like these exist: https://arxiv.org/abs/2404.11757 Numerous research, INCLUDING the OpenTSLM paper has PROVEN they are NOT able to do this out of the box. Did you even check out the r
3. 3.▲
   by RealLast 1y ago

   Check it out, they are completely based on Llama and Gemma, outputting text. Models are open-source.
4. 4.▲
   by RealLast 1y ago

   Sure! There is more after the 1D conv, another transformer architecture that encodes further features of the time series. The LLM can then basically query this encoder for information, also able to capture more subtle patterns. In away it&#
5. 5.▲
   by RealLast 1y ago

   The full paper is on the website. The arxive release of the exact same paper is pending. Click the button "read the white paper" to get the full paper.
6. 6.▲
   by RealLast 1y ago

   I think you missed the point. Would you call an image analysis library to describe an image or reason over a sequence of images? Check out some of the plots in the paper to see what these models can do.
7. 7.▲
   by RealLast 1y ago

   OpenTSLM models are exactly made to capture these subtle signals. That was one of the original motivations. The model integrates the raw time series data via cross attention, with concrete time series representations learned by a raw time