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Saurav Chhatrapatileft a comment
Hi! I'm Saurav - one of the engineers at RunLLM and wanted to share a bit about why I'm so excited about the product that we've built. It's been incredible going from the foundations we laid out in RunLLM v1 to a complete agent-centric operating mode that has more flexibility in the actions it can take in order to solve customer requests. The tricky part at the core of all LLM-powered...
RunLLMAI that doesn’t just respond—it resolves
Built on 10 years of UC Berkeley research, RunLLM reads logs, code and docs to resolve complex support issues. Saves 30%+ eng time, cuts MTTR by 50%, deflects up to 99% of tickets. Trusted by Databricks, Sourcegraph and Corelight—try for free on your product.
RunLLMAI that doesn’t just respond—it resolves
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!
AqueductThe easiest way to run open source LLMs
Saurav Chhatrapatileft a comment
Hey! I’m one of the engineers at Aqueduct and looking forward to feedback from the community!
AqueductTaking data science to production
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.
AqueductTaking data science to production