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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...
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ApiOverflow
Discover, use, and debug complex APIs with AI
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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...
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Aqueduct
The easiest way to run open source LLMs
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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!
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Aqueduct
The easiest way to run open source LLMs
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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.
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Aqueduct
Taking data science to production
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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...
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Aqueduct
Taking data science to production