Empowering Data Science Teams: Harnessing AI with Appen
31 min

Empowering Data Science Teams: Harnessing AI with Appen

MLOps World - MLOps World & Generative AI World 2024
Sasha McGrath Geoffrey LaPorte
training-data ai data-science machine-learning llm generative-ai data-annotation data-quality collaboration model-building
Finding training inefficiencies with CentML DeepView
41 min

Finding training inefficiencies with CentML DeepView

MLOps World - MLOps World & Generative AI World 2024
Yubo Gao
visual-profiler training-throughput batch-size mixed-precision tensor-cores flash-attention deep-learning machine-learning performance-optimization profiling gpu-utilization pytorch tensorflow model-deployment cost-optimization energy-efficiency
Function Calling for LLMs: RAG without a Vector Database
40 min

Function Calling for LLMs: RAG without a Vector Database

MLOps World - MLOps World & Generative AI World 2024
Jim Dowling
feature-store llm rag function-calling vector-database ai data-modeling natural-language-processing retrieval-augmented-generation api machine-learning
LLM Fine-Tuning for Modern AI Teams: How One E-Commerce Unicorn Cut Inference Cost by 90%
47 min

LLM Fine-Tuning for Modern AI Teams: How One E-Commerce Unicorn Cut Inference Cost by 90%

MLOps World - MLOps World & Generative AI World 2024
Emmanuel Turlay
inference-cost data-preparation mistral-7b gpt-3.5 cost-reduction llm fine-tuning ai machine-learning e-commerce natural-language-processing model-evaluation
What It Actually Takes to Deploy GenAI Applications to Enterprises: Custom Evaluation Models
49 min

What It Actually Takes to Deploy GenAI Applications to Enterprises: Custom Evaluation Models

MLOps World - MLOps World & Generative AI World 2024
Alexander Kvamme Arjun Bansal
ai-deployment evaluation-models customer-support genai llm llm-ops prompt-engineering enterprise-ai data-analysis ai-development machine-learning
Mastering LLM Fine-Tuning
32 min

Mastering LLM Fine-Tuning

MLOps World - MLOps World & Generative AI World 2024
Maxime Labonne
data-generation model-merging supervise-fine-tuning parameter-efficient-fine-tuning peft dpo llm fine-tuning machine-learning artificial-intelligence lora
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
From Black Box to Mission Critical: Implementing Advanced AI Explainability and Alignment in FSIs
59 min

From Black Box to Mission Critical: Implementing Advanced AI Explainability and Alignment in FSIs

MLOps World - MLOps World & Generative AI World 2024
Vinay Kumar Sankarapu
ai-explainability ai-alignment financial-services fsi model-monitoring ai artificial-intelligence explainable-ai xai machine-learning mlops risk-management deep-learning
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
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