Meetup 11/8/2019 Jared Roesch OctoML is a new company building DL deployment solutions using the Apache (incubating) TVM project. A goal is to nurture the TVM community and contribute new infrastructure t3: Tensor Q octoML Coalesced t1: Tensor t2: Tensor t3: Tensor 13 Acknowledgments e The Apache(incubating) community members. e ASF Mentors and PMC members who make this awesome project Possiblel

Intel, … Incubated as Apache TVM recently. Independent governance, allowing competitors to collaborate. Open Code Open Development Open GovernanceAcknowledgement Apache (incubating) TVM community

or its Affiliates. All rights reserved. Thank You and Q&A System Prototyping https://github.com/apache/incubator-tvm/pull/4258 RFC https://discuss.tvm.ai/t/bring-your-own-codegen-to-tvm/4501© 2019

Aaron A. et al., ‘Ambient Artificial Intelligence Scribes to Alleviate the Burden of Clinical Documentation’ (3/24) & Tierney, Aaron A. et al., ‘Ambient Artificial Intelligence Scribes: Learnings after conversations to facilitate scribe-like capabilities in real time, [have] great potential to reduce documentation burden, enhance physician-patient encounters, and augment clinicians’ capabilities. The technology repository is an online storage space where developers share and manage code, models, data, and documentation related to artificial intelligence projects. These enable collaboration, reuse, and distribution

and answering, text classification, language or code translation, code generation, and code documentation or reasoning. Please feel free to refer to Google’s prompting guides2,3 with simple and effective using Vertex AI Studio, save your prompts (using the same name and version as listed in your documentation) and track the hyperlink to the saved prompt in the table. This way, you’re always one click