Weekly talks and fireside chats about everything that has to do with the new space emerging around D
MLOps Coffee Sessions #167 with Maxime Beauchemin, Treating Prompt Engineering More Like Code. // A
MLOps Coffee Sessions #166 with Roy Hasson & Santona Tuli, Eliminating Garbage In/Garbage Out fo
MLOps Coffee Sessions #165 with Sammy Sidhu, Python Power: How Daft Embeds Models and Revolutionizes
MLOps Coffee Sessions #164 with Rob Hirschfeld, Open Source and Fast Decision Making. This episode
MLOps Coffee Sessions #163 with Yujian Tang, Democratizing AI co-hosted by Abi Aryan. // Abstract
MLOps Coffee Sessions #162 with Soham Chatterjee, From LLMs to TinyML: The Dynamic Spectrum of MLOps
MLOps Coffee Sessions #161 with Tuhin Srivastava, The Long Tail of ML Deployment co-hosted by Abi Ar
MLOps Coffee Sessions #160 with Matt Sharp, Data Developer at Shopify, Clean Code for Data Scientist
MLOps Coffee Sessions #159 with Maria Vechtomova, Lead ML engineer, and Basak Eskili Machine Learni
MLOps Coffee Sessions #158 with Nils Reimer, MLOps Build or Buy, Large Language Model at Scale co-ho
We are having another LLMs in-production Virtual Conference. 50+ speakers combined with in-person a
MLOps Coffee Sessions #157 with Katrina Ni & Aaron Maurer, MLOps Build or Buy, Startup vs. Enter
Sign up for the next LLM in production conference here: https://go.mlops.community/LLMinprod Watch a
MLOps Coffee Sessions #156 with Melissa Barr & Michael Mui, Machine Learning Education at Uber
MLOps Coffee Sessions #155 with Matei Zaharia, The Birth and Growth of Spark: An Open Source Succes
MLOps Coffee Sessions #154 with Waleed Kadous, ML Scalability Challenges, co-hosted by Abi Aryan. /
This exclusive podcast episode covers the key findings from the LLM in-production survey that we con
MLOps Coffee Sessions #153 with Rodolfo Núñez, Multilingual Programming and a Project Structure to
Worlds are colliding! This week we join forces with the hosts of the Practical AI podcast to discuss
MLOps Coffee Sessions #152 with Keith Trnka, How A Manager Became a Believer in DevOps for Machine L