hnthrowaway9812

6 ms·

1. 1.▲
   by hnthrowaway9812 2y ago

   Thanks for this spreadsheet! It's amazing!
2. 2.▲
   by hnthrowaway9812 2y ago

   It's a wast if they are mostly all trying the SAME things. Which is mostly what is happening. I want someone to spend a million on a Chess LLM so we can get a sense of how sophisticated they can get at non-linguistic pattern matching.
3. 3.▲
   by hnthrowaway9812 2y ago

   It claims to have a knowledge cut-off of 2021. Not sure if its hallucinating or its true. But when I asked it about the best LLMs it suggested GPT-3, Bert and T5!
4. 4.▲
   by hnthrowaway9812 2y ago

   It doesn't seem like that's true at all. If the "best model" only stays the best for a few months and if, during those few months, the second best model is near indistinguishable, then it will be extremely hard to extrac
5. 5.▲
   by hnthrowaway9812 2y ago

   Groq seems to be well positioned to give Nvidia a run for their money, actually.
6. 6.▲
   by hnthrowaway9812 2y ago

   Snowflake could have the same story by hosting Llama 3 which is probably more efficient/better.
7. 7.▲
   by hnthrowaway9812 2y ago

   You've nerdsniped me so hard that I had to make an account. There are DOZENS of orgs releasing foundational models, not "a handful." Salesforce, EleuthierAI, NVIDIA, Amazon, Stanford, RedPajama, Cohere, Mistral, MosaicML, Yan