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Vikram Sreekanti
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LLMs have unlocked a whole wave of innovation, and tools like GitHub Copilot help engineering productivity by automatically generating code snippets for tedious tasks.
While this is a great first step, it's a limited approach. Copilot builds on all the code on the internet, which makes it a great general-purpose programmer, but it doesn't know much about what *you* are trying to do.
That's...
ApiOverflow
Discover, use, and debug complex APIs with AI
Vikram Sreekanti
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Hi everyone! LLMs have taken the world by storm, but using them is a pain (or a non-starter) for most people, due to concerns around data privacy, IP ownership, and cost. Open-source LLMs, like LLaMa, Dolly, and Vicuna have enabled enterprises to think about using LLMs, but they're a pain to operate.
At Aqueduct, our goal has been to enable ML teams to use the best technology without the...
Aqueduct
The easiest way to run open source LLMs
Aqueduct's LLM support makes it easy for you to run open-source LLMs on any infrastructure that you use. With a single API call, you can run an LLM on a single prompt or even on a whole dataset!
Aqueduct
The easiest way to run open source LLMs
Aqueduct automates the engineering required to take data science to production. By abstracting away low-level cloud infrastructure, Aqueduct enables data teams to run models anywhere, publish predictions where they're needed, and monitor results reliably.
Aqueduct
Taking data science to production
Vikram Sreekanti
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Hi everyone!
We've been working on making data teams more productive with Aqueduct for over a year, and we're really excited to share what we've been building.
There's a large (and growing!) number of programmers in the world who understand data and can solve business problems but don't want to spend their time wrangling low-level cloud infrastructure to get their work into the cloud. The...
Aqueduct
Taking data science to production