Open-Ended and AI Generating Algorithms in the Era of Foundation Models
46 min

Open-Ended and AI Generating Algorithms in the Era of Foundation Models

MLOps World - MLOps World & Generative AI World 2024
Jeff Clune
foundation-models quality-diversity open-ended-algorithms ai-generating-algorithms evolutionary-algorithms algorithmic-innovation artificial-intelligence machine-learning large-language-models reinforcement-learning deep-learning generative-ai
RAG Hyperparameter Optimization: Translating a Traditional ML Design Pattern to RAG Applications
35 min

RAG Hyperparameter Optimization: Translating a Traditional ML Design Pattern to RAG Applications

MLOps World - MLOps World & Generative AI World 2024
Niels Bantilan
hyperparameter-optimization pipelines traditional-ml rag llm mlops ai generative-ai inference orchestration data-quality machine-learning
Striking the Balance: Leveraging Human Intelligence with LLMs for Cost-Effective Annotations
27 min

Striking the Balance: Leveraging Human Intelligence with LLMs for Cost-Effective Annotations

MLOps World - MLOps World & Generative AI World 2024
Geoffrey LaPorte Chris Stephens
ml-models ai-solutions computational-cost human-intelligence model-performance experimental-design data-annotation machine-learning large-language-models llms automation data-quality
A Data Scientist's Guide to Unit & End-to-End Testing
1h 23m

A Data Scientist's Guide to Unit & End-to-End Testing

MLOps World - MLOps World & Generative AI World 2024
Vatsal Patel
machine-learning mlops testing unit-testing end-to-end-testing test-driven-development ci-cd python pytest mocking dependency-injection
LLMs Alone Do Not Solve Business Problems
27 min

LLMs Alone Do Not Solve Business Problems

MLOps World - MLOps World & Generative AI World 2024
Marinela Profi
generative-ai llms ai data-readiness data-quality nlp synthetic-data risk-management governance technical-debt machine-learning
A Practical Guide to Efficient AI
30 min

A Practical Guide to Efficient AI

MLOps World - MLOps World & Generative AI World 2024
Shelby Heinecke
ai artificial-intelligence machine-learning llm large-language-models model-optimization quantization small-language-models function-calling prompt-engineering inference model-efficiency
AutoGen: Enabling Next Gen AI Applications via Multi Agent Conversation
29 min

AutoGen: Enabling Next Gen AI Applications via Multi Agent Conversation

MLOps World - MLOps World & Generative AI World 2024
Qingyun Wu
ai generative-ai multi-agent-systems conversational-ai ai-agents llm large-language-models frameworks programming-framework python machine-learning mlops
Create Evidence-Based AI Features
28 min

Create Evidence-Based AI Features

MLOps World - MLOps World & Generative AI World 2024
Connor Joyce
ai generative-ai product-management user-research feature-development mlops machine-learning behavior-change data-driven-decisions
From Model to Production: A Unified Journey
28 min

From Model to Production: A Unified Journey

MLOps World - MLOps World & Generative AI World 2024
Yuval Fernbach
mlops machine-learning devops software-supply-chain generative-ai data-science deployment security vulnerability-management model-registry ci-cd containerization
We're Doing RAG All Wrong—and How We Can Do So Much Better
5 min

We're Doing RAG All Wrong—and How We Can Do So Much Better

MLOps World - MLOps World & Generative AI World 2024
Simba Khadder
rag llms embeddings vector-database retrieval-augmented-generation ai machine-learning prompt-engineering natural-language-processing feature-stores
Building Composite LLM Systems
30 min

Building Composite LLM Systems

MLOps World - MLOps World & Generative AI World 2024
Urmish Thakker
llm large-language-models open-source artificial-intelligence machine-learning ensemble-methods model-specialization nlp generative-ai mlops inference training
Building Trust in ML Systems: Effective Stakeholder Communication
27 min

Building Trust in ML Systems: Effective Stakeholder Communication

MLOps World - MLOps World & Generative AI World 2024
Joseph Tenini
machine-learning mlops stakeholder-management communication data-science explainable-ai model-deployment business-intelligence decision-making uncertainty-quantification process-improvement