~/promo

Premiere

at Conf42 Machine Learning 2023 · on Thursday, 2023-05-18· [machine-learning]

speakers

name:Noa Goldman

linkedin:goldmanoa

name:Alejandro Cantos

linkedin:ajcantos

name:Tamara Janina Fingerlin

github:TJaniF

name:Akmal Chaudhri

linkedin:akmalchaudhri

name:Matt Harrison

website:http://hairysun.com/

name:Argo Saakyan

linkedin:argo-saakyan

name:Logesh Kumar Umapathi

linkedin:logeshkumaru

name:Abhiram Ravikumar

linkedin:abhi12ravi

name:Jaspal Singh Jhass

links:none on file

name:Gaurab Patra

linkedin:gaurab-patra-41597960

name:Yogesh Seenichamy

linkedin:yogesh-seenichamy-02849922b

name:Daniel Svonava

linkedin:svonava

name:Zain Hasan

website:https://zainhas.github.io/

name:David Kjerrumgaard

linkedin:davidkj

resources

video:https://youtu.be/_nG0p3Dl4No

slides:none on file

summary

A rapid lineup of short sessions promises concrete takeaways: why Edge is the new Cloud with cases that must not send data to the cloud, an Apache Airflow pipeline that orchestrates both data engineering and MLOps steps, using WebAssembly for in-database ML and Polars fast dataframe benchmarks for heavy tabular work, cascade models for 24/7 video with fewer false positives, methods to elicit reasoning and planning from LLMs, topic modeling on the Amazon Alexa dataset, Vector DBs: hype vs reality, and a demo of a gamified interface built in under five minutes.

AI-written summary · about

chapters (15)

related talks