MLOps World: Machine Learning in Production Courses

Making Enterprise GenAI Safe and Effective - Tools and Approaches

Explore tools and approaches for safe, effective enterprise GenAI deployment, including finetuning, moderation guardrails, and sidecar systems for automated compliance.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Running Prompts at CI: Why It Doesn't Make Your GenAI App Enterprise-Ready

Explore challenges and best practices for deploying GenAI applications in enterprise environments beyond basic CI prompt testing.

• YouTube
• 33 minutes
• On-Demand
• Free Video

The Best Component for Your RAG System - Optimizing with AutoRAG

Optimize RAG systems automatically with AutoRAG. Boost performance by finding the ideal pipeline for your data and use-case through efficient evaluation of various modules.

• YouTube
• 45 minutes
• On-Demand
• Free Video

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

Explore AI reliability challenges in production, survey techniques for improvement, and gain insights from 18 months of solving AI engineering reliability issues.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Deploying GenAI Applications to Enterprises: Custom Evaluation Models and LLMOps Workflow - MLOps World

Explore challenges and solutions in deploying conversational AI to enterprises, focusing on accuracy optimization, LLMOps workflows, and infrastructure requirements for scalable implementation.

• YouTube
• 49 minutes
• On-Demand
• Free Video

From Idea to Production: AI Infrastructure for Scaling LLM Applications

Explore strategies for scaling LLM applications from beta to production, addressing challenges and building adaptable AI infrastructure for evolving models and workflows.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Lessons Learned from Scaling Large Language Models in Production

Discover strategies for scaling LLMs in production, covering performance profiling, GPU optimization, and guardrail interactions with real-world examples.

• YouTube
• 40 minutes
• On-Demand
• Free Video

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

Explore LLM fine-tuning techniques to reduce costs and improve performance. Learn to select base models, prepare datasets, run fine-tuning jobs, and evaluate results for specific AI tasks.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Function Calling for LLMs: RAG without a Vector Database

Explore function calling for LLMs to access structured data, enhancing RAG capabilities without vector databases. Learn to enrich tables with metadata for improved query performance.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Finding Training Inefficiencies with CentML DeepView

Optimize deep learning model training with DeepView. Gain insights into performance bottlenecks, enhance resource utilization, and achieve significant throughput improvements through intuitive visualizations and targeted optimizations.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Evaluating LLMs and RAG Pipelines at Scale

Explore techniques for evaluating Large Language Models and RAG pipelines in production, focusing on Valor, an open-source evaluation service for rigorous real-world testing.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Better Chatbots with Advanced RAG Techniques

Explore advanced RAG techniques for building superior chatbots. Learn hybrid search, query generation, result filtering, re-ranking, and chunking to enhance information retrieval and user interactions.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Data Versioning in Generative AI - A Pathway to Cost-effective Machine Learning

Explore data versioning strategies for generative AI, focusing on cost-effective techniques to minimize processing time and API calls while enhancing collaboration and efficient versioning of annotations and embeddings.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Building ML and GenAI Systems with Metaflow

Learn to build differentiated AI systems using Metaflow, covering data engineering, model training, and inference for large-scale AI applications in production environments.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Efficiently Fine-Tune and Serve Your Own LLMs

Learn to efficiently fine-tune and deploy large language models, optimizing performance and resource utilization for production environments.

• YouTube
• 42 minutes
• On-Demand
• Free Video