Evidence receipt / belief
Published · transcript-backedAlessio Fanelli: belief
30 May 2024 Latent Space How to train a Million Context LLM — with Mark Huang of Gradient.ai
“I think people that are watching Fallout on Amazon Prime right now can maybe feel nostalgia just looking at it.”
Source trail
Everything needed to verify it.
- Speaker
- Alessio Fanelli
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 30 May 2024
- Publisher
- Latent Space
Transcript context
…Yeah, I think part of the reason why I came over from the quant finance world is to get more collaboration, learn about what big data and scaling machine learning really looks like when you're not in this bubble, right? And working at Box, I worked mostly in a cross-functional role, helping product analytics and go to market. And then at Splunk, it was a lot more specific role where I was helping with streaming analytics and search and deep learning. And for Gradient, like really why we started it was whether it was in finance or whether it was in tech, I always noticed that there was a little bit more to give in terms of what AI or ML could contribute to the business. And we came at a really good time with respect to wanting to bring the full value of what that could be into the enterprise. And then obviously, OpenAI created this huge vacuum into the industry to allow for that, right? So I myself felt like really, really empowered to actually ship product and ship stuff that I could think could really help people. And maybe just to touch a little bit on Gradient, I know we have a lot of things to go through Gradient, Llama3 context extension, there's a lot, but what exactly is Gradient? And you have an awesome design on your website, it's like really retro. I think people that are watching Fallout on Amazon Prime right now can maybe feel nostalgia just looking at it. What exactly is it? Because I know you have the foundry, you have the agent SDK, there's like a lot of pieces into it. Yeah, for sure. And appreciate the call out for the design. I know my co-founder, Chris, spent a lot of thought in terms of how he wanted the aesthetic to look like. And it reminds me a lot about Mad Men. So that was the initial emotional shape that I felt when I saw it. Quite simply, Gradient, we're a full stack AI platform. And what we really want to do is we want to enable all of the RPA workloads or the codified automation workloads that existed in enterprise before. We really want to enable people to transition into more autonomous, agentic workflows that are less brittle, feel more seamless as an interface to able to empower what we really think the new AI workforce should look like. And that kind of required us to build a fairly horizontal platform for those purposes.…
Stored transcript either side of the excerpt. The highlighted words are the published quote; the surrounding text is unedited source, never generated.