Evidence receipt / recommendation
Published · transcript-backedMark Huang: recommendation
30 May 2024 Latent Space How to train a Million Context LLM — with Mark Huang of Gradient.ai
“We definitely have a call to action to get more people to work together with us for long context evaluations. That is sort of the it topic throughout even meta or Google or any of the other folk are focusing on because I think we lack an understanding of that within the community.”
Source trail
Everything needed to verify it.
- Speaker
- Mark Huang
- Attribution
- Verified speaker
- Claim type
- recommendation
- Recorded
- 30 May 2024
- Publisher
- Latent Space
Transcript context
…I know we kept you in the studio for a long time. Any final call to actions for folks that could be roles you're hiring for, requests for startups, anything that comes to mind that you want to share with the audience? We definitely have a call to action to get more people to work together with us for long context evaluations. That is sort of the it topic throughout even meta or Google or any of the other folk are focusing on because I think we lack an understanding of that within the community. And then can we as a community also help to construct other modalities of datasets that would be interesting, like pairwise datasets, right? Like you could get just straight video and then straight text, but getting them together for grounding purposes will be really useful for training the next set of models that I know are coming out. And the more people we have contributing to that would be really useful. Awesome. Thank you so much for coming on, Mark.…
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