| |
|
| |
Join EliseAI & Baseten for an evening exploring how teams can adapt open-source models for specific use cases, deploy them reliably in production, & keep pace with a rapidly evolving ecosystem.
Engineers from both teams will compare strategies for adapting & improving open-source models: when fine-tuning & other post-training techniques are worthwhile, when harness engineering is the better approach, how to build accurate benchmarks & reliable ground-truth datasets, & how to hill-climb on evals without optimizing for the wrong signals. They'll also discuss the performance, infrastructure, & reliability challenges that emerge at scale.
We'll kick things off with a short technical discussion, followed by an open Q&A & networking with engineers, researchers, & builders from across the AI ecosystem. Come for the technical deep dive, stay for drinks & conversation with others building at the frontier of AI.
What to expect:
6:00 PM: Doors open, Pizza & Drinks
6:45 PM: Panel: Post-Training Models in Production
7:15 PM: Open Q&A & Technical Deep Dive
7:45 PM: Networking & Community
9:00 PM: Doors Close
About us:
EliseAI builds AI automation for the housing & healthcare industries, which together make up 40% of American household spending. Our AI powers operations across the full customer & resident lifecycle-from initial inquiry & leasing through ongoing resident engagement, renewals, & other critical workflows. Today, one in six leasing apartments in the U.S. runs on EliseAI.
Baseten is the training & inference platform behind some of the most demanding AI workloads in production for companies like Abridge, Cursor, Notion, & OpenEvidence.
|
|
|
|
|
|
|
|
