How To Build A Ml Platform Efficiently Using Open-Source

How to Build a ML Platform Efficiently Using Open-Source

Back to Basics: Build and Deploy Scalable Machine Learning Systems on Open-Source Platforms

Amazon Web Services

Training Your Own AI Model Is Not As Hard As You (Probably) Think

Steve (Builder.io)

Contributing to Open Source Can Change Your Life - Here’s How to Do It

Learn Fast Make Things

Five Steps to Create a New AI Model

The Road Ahead: Google's Comprehensive Platform for Open Source Machine Learning

"okay, but I want GPT to perform 10x for my specific use case" - Here is how

ML Was Hard Until I Learned These 5 Secrets!

Boris Meinardus

Build Scalable Workflows for LLM Fine-Tuning - LLMOps Workshop

Building a Secure and Transparent ML Pipeline Using Open Source Technologies

Should You Use Open Source Large Language Models?

Build Anything With ChatGPT API, Here’s How

Deploy ML model in 10 minutes. Explained

Danil Zherebtsov

Keynote: Platform Building Blocks: How to Build ML Infrastructure with CNCF Projects

CNCF [Cloud Native Computing Foundation]

Dump ChatGPT, use Fabric instead

Building an ML Service Platform from the Ground Up - Sean Sheng

DataTalksClub ⬛

Shopify's ML Platform Journey Using Open Source Tools Case study building Merlin & AMA

MLOps World: Machine Learning in Production

Optimizing LLM Training with Airbnb's Next-Gen ML Platform

Sponsored Keynote: Build an Open Source Platform for AI/ML - Jorge Palma, Principal PM Lead

CNCF [Cloud Native Computing Foundation]

Building an ML Platform from Scratch

MLOps World: Machine Learning in Production