From Model T to Machine Learning: A Glimpse into Ford's MLOps and Hybrid Infrastructure Strategy
36 min

From Model T to Machine Learning: A Glimpse into Ford's MLOps and Hybrid Infrastructure Strategy

MLOps World - MLOps World & Generative AI World 2024
Naiel Samaan Valmir Bucaj
on-premise google-cloud-platform airflow mlops machine-learning ai hybrid-cloud gcp docker kubernetes data-modeling devops
How Do You Scale to Billions of Fine-Tuned LLMs
5 min

How Do You Scale to Billions of Fine-Tuned LLMs

MLOps World - MLOps World & Generative AI World 2024
James Dbiorin
cuda batching llm large-language-models fine-tuning lora inference scalability parameter-efficient-fine-tuning gpu mlops ai
Synthetic Data: Generative AI for Enhanced Data Quality in the Era of Foundational Models
35 min

Synthetic Data: Generative AI for Enhanced Data Quality in the Era of Foundational Models

MLOps World - MLOps World & Generative AI World 2024
Fabiana Clemente
foundational-models data-augmentation gan data-democratization generative-ai synthetic-data data-quality llms bias-mitigation data-privacy machine-learning artificial-intelligence generative-models transformers
Lessons Learned Productionizing LLMs for Stripe Support
29 min

Lessons Learned Productionizing LLMs for Stripe Support

MLOps World - MLOps World & Generative AI World 2024
Sophie Daly
support-operations data-strategy llm large-language-models nlp natural-language-processing ai machine-learning retrieval-augmented-generation rag fine-tuning
LLM Economics: The Cost of Leveraging Large Language Models
32 min

LLM Economics: The Cost of Leveraging Large Language Models

MLOps World - MLOps World & Generative AI World 2024
Nikunj Bajaj
cost-analysis open-source-llm commercial-llm api-costs llm large-language-models generative-ai rag fine-tuning model-deployment inference-cost python
Applying Responsible AI with the Open-Source LangTest Library
32 min

Applying Responsible AI with the Open-Source LangTest Library

MLOps World - MLOps World & Generative AI World 2024
David Talby
langtest ai-bias ai responsible-ai llm nlp testing data-leakage mlops python open-source
Intelligent Writing Assistants in the era of Large Language Models
25 min

Intelligent Writing Assistants in the era of Large Language Models

MLOps World - MLOps World & Generative AI World 2024
Vipul Raheja
text-generation text-editing instruction-tuning collaborative-writing iterative-revision computational-linguistics natural-language-processing large-language-models writing-assistance human-in-the-loop reinforcement-learning
QA in ML
28 min

QA in ML

MLOps World - MLOps World & Generative AI World 2024
Serg Masis
quality-assurance secops machine-learning mlops data-science qa ai artificial-intelligence explainable-ai data-engineering devops reliability
What Does it Mean to be an AI Engineer in the World of GenAI?
30 min

What Does it Mean to be an AI Engineer in the World of GenAI?

MLOps World - MLOps World & Generative AI World 2024
Aarushi Kansal
ai-engineering generative-ai prompt-engineering rag retrieval-augmented-generation vector-databases agents reliability resiliency monitoring observability scaling fine-tuning large-language-models
Making ChatGPT Funny with Prompt Optimization
33 min

Making ChatGPT Funny with Prompt Optimization

MLOps World - MLOps World & Generative AI World 2024
Mike Taylor
writing-assistance chatgpt ai artificial-intelligence prompt-engineering natural-language-processing nlp large-language-models llm generative-ai
Avoid ML OOps with ML Ops: A modular approach to scaling Forethought’s E2E ML Platform
51 min

Avoid ML OOps with ML Ops: A modular approach to scaling Forethought’s E2E ML Platform

MLOps World - MLOps World & Generative AI World 2024
Salina Wu
sagemaker spark dagster feature-engineering data-drift mlops machine-learning data-engineering devops ci-cd model-serving ml-training
Secure Open Source MLOps - Ubuntu Principles
18 min

Secure Open Source MLOps - Ubuntu Principles

MLOps World - MLOps World & Generative AI World 2024
Andreea Munteanu Maciej Mazur
ubuntu data-tokenization privacy-enhancing-technologies mlops kubernetes kubeflow confidential-computing security compliance open-source machine-learning ai