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
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
Wanted: A Silver Bullet MLOps Solution for Enterprise
31 min

Wanted: A Silver Bullet MLOps Solution for Enterprise

MLOps World - MLOps World & Generative AI World 2024
Muller Mu Christophe Chabbert
enterprise-mlops pipeline-orchestration conway-law api-first modular-architecture mlops machine-learning drug-discovery data-science model-deployment observability
LLMs From Dream to Deployed
29 min

LLMs From Dream to Deployed

MLOps World - MLOps World & Generative AI World 2024
Josh Goldstein
chatbots seldon llm large-language-models machine-learning mlops deployment retrieval-augmented-generation rag kubernetes openai hugging-face gpu
Running Multiple Models on the Same GPU, on Spot Instances
33 min

Running Multiple Models on the Same GPU, on Spot Instances

MLOps World - MLOps World & Generative AI World 2024
Oscar Rovira
ml-inference spot-instances gpu-fractionalization gpu cost-optimization generative-ai llm cloud-computing aws gcp azure mlops
Building ML and GenAI Systems with Metaflow
48 min

Building ML and GenAI Systems with Metaflow

MLOps World - MLOps World & Generative AI World 2024
Ville Tuulos
ai-systems ml machine-learning genai generative-ai metaflow data-engineering model-training inference python mlops
Evaluating LLMs and RAG Pipelines at Scale
36 min

Evaluating LLMs and RAG Pipelines at Scale

MLOps World - MLOps World & Generative AI World 2024
Eric Korman
valor llm rag mlops llm-ops pipelines language-models natural-language-processing data-management model-training model-deployment
Lessons learned from scaling large language models in production
41 min

Lessons learned from scaling large language models in production

MLOps World - MLOps World & Generative AI World 2024
Matt Squire
ray-serve large-language-models llm rag mlops gpu performance-optimization inference scaling python fastapi kubernetes vm vector-database
Why AI Apps Don't Work in Prod: AI Reliability Survey
33 min

Why AI Apps Don't Work in Prod: AI Reliability Survey

MLOps World - MLOps World & Generative AI World 2024
Shreya Rajpal
ai artificial-intelligence mlops machine-learning-operations reliability ai-engineering llm large-language-models
From Black Box to Glass Box: Interpreting your Model
29 min

From Black Box to Glass Box: Interpreting your Model

MLOps World - MLOps World & Generative AI World 2024
Zachary Carrico
model-interpretability saliency-maps shap grad-cam activation-maximization bias-reduction machine-learning deep-learning neural-networks mlops computer-vision
Fast Data Loading for Deep Learning Workloads with LakeFS Mount
30 min

Fast Data Loading for Deep Learning Workloads with LakeFS Mount

MLOps World - MLOps World & Generative AI World 2024
Amit Kesarwani
data-versioning lakefs data-loading git-like data-consistency data-lake deep-learning mlops data-management object-storage data-pipelines tensorflow