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)

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

Five Steps to Create a New AI Model

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

Learn Fast Make Things

ML Was Hard Until I Learned These 5 Secrets!

Boris Meinardus

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

Build Scalable Workflows for LLM Fine-Tuning - LLMOps Workshop

Build Anything With ChatGPT API, Here’s How

Building a Secure and Transparent ML Pipeline Using Open Source Technologies

Should You Use Open Source Large Language Models?

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]

I can't STOP reading these Machine Learning Books!

Nicholas Renotte

The HARDEST part about programming 🤦‍♂️ #code #programming #technology #tech #software #developer

Coding with Lewis

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

Building a sustainable, open source machine learning platform for everyone (TensorFlow Meets)