xatalytic

11 ms·

1. 1.▲
   by xatalytic 3y ago

   One of the creators here - yeah, the thing we have our eyes on is the vector not the point. It’s astounding how adaptable these open models are, even with just a quarter of the Alpaca data. We’re a team of machine learning engineers and hac
2. 2.▲
   Databricks Releases 15K Record Training Corpus for Instruction Tuning LLMs(github.com)

   347 points by xatalytic 3y ago|89 comments
3. 3.▲
   by xatalytic 3y ago

   15,000 instruction tuning records generated by Databricks employees in seven of the behavior categories outlined in the InstructGPT paper (predecessor to ChatGPT). Coincides with the release of Dolly 2.0, which is trained exclusively on thi
4. 4.▲
   by xatalytic 4y ago

   I’ll shoot you a line. As it happens I just came across Haystack (6.5k stars on GitHub) which looks like an awesome stack for this class of work. https://haystack.deepset.ai/
5. 5.▲
   by xatalytic 4y ago

   Curious if you can share more about the stack. From another comment it sounds like you're using Whisper to generate the text from audio. My default out of the box way to approach this would be something straightforward like a BERT-ali