Published Apr 26, 2022

MLOps is NOT Real

Explore how low and no code AI automation is revolutionizing model development despite deployment challenges, as Luis from OctoML delves into MLOps evolution, its fusion with DevOps, and the promising future of AI integration and education.

Episode Highlights

Topics covered

Episode Highlights

Related Episodes

MLOps and tracking experiments with Allegro AI
Answers 383 questions
Apache TVM and OctoML
Answers 383 questions
Machine learning at small organizations
Answers 383 questions
Operationalizing ML/AI with MemSQL
Answers 383 questions
Generative models: exploration to deployment
Answers 383 questions
Fine-tuning vs RAG
Answers 383 questions
Self-hosting & scaling models
Answers 383 questions
Productionizing AI at LinkedIn
Answers 383 questions
Machine learning in your database
Answers 383 questions
The new AI app stack
Answers 383 questions
Serverless GPUs
Answers 383 questions
Large models on CPUs
Answers 383 questions
Creating instruction tuned models
Answers 383 questions
From notebooks to Netflix scale with Metaflow
Answers 383 questions
So you have an AI model, now what?
Answers 383 questions

Dexa/Practical AI

MLOps is NOT Real

Topics covered

Popular Clips

MLOps Perspective

AI Automation Insights

Evolution of ML Ops

Future of AI Education

Future of AI

Engineering Insights

Automation Revolution

Model Deployment Challenges

Streamlining ML Deployment

Automation Insights

AI Model Deployment

Apache TVM Update

AI Insights

Ensemble Models in Production

Episode Highlights

AI Automation

MLOps Evolution

Future of AI

Model Deployment

Related Episodes

MLOps and tracking experiments with Allegro AI

Apache TVM and OctoML

Machine learning at small organizations

Operationalizing ML/AI with MemSQL

Generative models: exploration to deployment

Fine-tuning vs RAG

Self-hosting & scaling models

Productionizing AI at LinkedIn

Machine learning in your database

The new AI app stack

Serverless GPUs

Large models on CPUs

Creating instruction tuned models

From notebooks to Netflix scale with Metaflow

So you have an AI model, now what?

MLOps is NOT Real

Topics covered

Popular Clips

Episode Highlights

AI AutomationLow code and no code approaches are transforming AI development by simplifying model creation, though deployment challenges remain. Automation in optimizing models for different hardware is progressing, with tools like Apache TVM leading the way.

AI Automation

MLOps Evolution

Future of AIThe discussion shifts to AI education trends and the integration of AI models into production applications. Luis shares insights on how educational approaches and automation can enhance the deployment and effectiveness of AI models.

Future of AI

Model Deployment

Related Episodes