From ML Repository to ML Production Pipeline
36 min

From ML Repository to ML Production Pipeline

MLOps World - MLOps World & Generative AI World 2024
Jakub Witkowski Dariusz Adamczyk
production-pipelines ml-repository mlops machine-learning devops docker kubernetes ci-cd kubeflow data-science gpu automation
Hemm: Holistic Evaluation of Multimodal Generative Models
1h 1m

Hemm: Holistic Evaluation of Multimodal Generative Models

MLOps World - MLOps World & Generative AI World 2024
Anish Shah
multimodal-generative-models text-to-image-diffusion-models image-quality prompt-comprehension weights-and-biases holistic-evaluation experiment-tracking llm-applications benchmarking fine-tuning deep-learning machine-learning
LeRobot: Democratizing Robotics
45 min

LeRobot: Democratizing Robotics

MLOps World - MLOps World & Generative AI World 2024
Remi Cadene
humanoid-robotics robot-arms diff-models transformers robotics generative-ai deep-learning python open-source ai llm
Leverage Kubernetes To Optimize the Utilization of Your AI Accelerators
23 min

Leverage Kubernetes To Optimize the Utilization of Your AI Accelerators

MLOps World - MLOps World & Generative AI World 2024
Nathan Beach
accelerators kubernetes kubernetes-engine ai gpu optimization training inference workloads resource-utilization cloud-computing
LLMidas' Touch; Safely Adopting GenAI for Production Use Cases
59 min

LLMidas' Touch; Safely Adopting GenAI for Production Use Cases

MLOps World - MLOps World & Generative AI World 2024
Gon Rappaport
prompt-injection hallucinations generative-ai genai llm large-language-models mlops production-ml rag ai-security data-governance ai-ethics
Memory Optimizations for Machine Learning
32 min

Memory Optimizations for Machine Learning

MLOps World - MLOps World & Generative AI World 2024
Tejas Chopra
model-pruning neural-networks cpu data-quantization machine-learning llm memory-optimization quantization inference deep-learning transformer-models gpu
Updating Your ML Serving Stack
30 min

Updating Your ML Serving Stack

MLOps World - MLOps World & Generative AI World 2024
Harshit Agarwal
ml-serving ml-infrastructure ml-training model-management machine-learning ml-deployment ml-platform e-commerce infrastructure-as-code ci-cd observability monitoring
Multi Graph Multi Agent Systems: Determinism Through Structured Representations
33 min

Multi Graph Multi Agent Systems: Determinism Through Structured Representations

MLOps World - MLOps World & Generative AI World 2024
Tom Smoker
data-representation information-retrieval structured-data deterministic-systems multi-agent-systems graph-theory artificial-intelligence knowledge-graphs
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
Robustness with Sidecars: Weak To Strong Supervision For Making Generative AI Robust For Enterprise
30 min

Robustness with Sidecars: Weak To Strong Supervision For Making Generative AI Robust For Enterprise

MLOps World - MLOps World & Generative AI World 2024
Dan Adamson
llm-security llm-compliance ai-hallucination ai-bias data-leakage ai-architecture weak-to-strong-supervision generative-ai-models generative-ai ai-safety enterprise-ai ai-governance
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