MLOps.community Courses

Boosting LLMs: Performance, Scaling, and Structured Outputs - MLOps Mini Summit 8

Explore techniques to enhance LLM performance, scale models in production, and improve structured outputs. Learn from experts about information extraction, scaling challenges, and innovative programming approaches for better AI results.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Unpacking Three Types of Feature Stores - MLOps Podcast

Explore feature stores, vector stores, and embeddings in ML and LLMs. Learn about personalization in prompts, MLOps challenges, and innovations from Featureform's CEO Simba Khadder.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Integrating Knowledge Graphs and Vector RAG for Efficient Information Extraction - Reading Group Session

Explore integrating knowledge graphs and vector retrieval for enhanced information extraction from unstructured financial documents, improving accuracy and efficiency in data analysis.

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

Reinvent Yourself and Be Curious - MLOps Career Insights - Podcast #264

Explore MLOps career transitions, essential pipeline components, and practical challenges with insights from an experienced engineer. Gain valuable perspectives on industry trends and best practices.

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

Embeddings and Retrieval for LLMs: Techniques and Challenges

Explore embedding-based retrieval for AI apps, including key limitations and mitigation techniques. Learn about Chroma, an open-source embedding database for LLM applications.

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

Open Source and Fast Decision Making in DevOps - MLOps Podcast Episode 164

Explore open-source practices, automation, and version control for operational independence in infrastructure management with RackN CEO Rob Hirschfeld.

• YouTube
• 1 hour
• On-Demand
• Free Video

Using Vector Databases: Practical Advice for Production - LLMs in Prod Conference

Explore vector databases for LLMs in production. Learn design patterns, context retrieval, feature injection, and common pitfalls. Gain practical insights for efficient deployment and management.

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

Pitfalls and Best Practices - 5 Lessons from LLMs in Production

Discover key insights on deploying LLMs in production environments. Learn from real-world case studies, avoid common pitfalls, and implement emerging best practices for successful AI integration.

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

Scalable Evaluation and Serving of Open Source LLMs

Explore challenges and solutions for serving open-source LLMs in production, focusing on scalable evaluation and deployment strategies.

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

LLMs as Intelligent Assistants - Revolutionizing Business Productivity

Explore how LLMs revolutionize business productivity as intelligent assistants. Learn about Salesforce's AI integration across Sales, Service, Marketing, and Development, driving innovation and efficiency.

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

Large Model Training and Inference with DeepSpeed

Explore DeepSpeed's journey in revolutionizing large model training and inference, from ZeRO and 3D-Parallelism to democratizing LLMs with limited resources and accelerating deployment.

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

Building LLM Applications for Production

Explore key challenges in deploying LLMs to production, covering essential considerations for real-world application development and implementation.

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

The Emerging Toolkit for Reliable, High-quality LLM Applications

Explore emerging techniques in LLMOps for building, tuning, and maintaining high-quality LLM applications. Learn about testing tools, programming frameworks, and methods to control LLM outputs for desired goals.

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

Democratizing AI - Vector Databases and LLM Applications

Explore vector databases, LLM app building, and AI democratization with Yujian Tang. Learn about Milvus, production use cases, data challenges, and the future of AI technologies.

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

From Arduinos to LLMs: Exploring the Spectrum of ML - MLOps Podcast Episode 162

Explore MLOps spectrum from LLMs to TinyML. Gain insights on model deployment challenges, IoT integration, and strategies for constrained environments. Learn about the intersection of machine learning and electronics.

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