Anyscale Courses

How Datadog is Transforming Time Series Forecasting with Toto

Discover how Toto, a Time Series-Optimized Transformer, revolutionizes forecasting through advanced architecture and trillion-point training data, enabling precise zero-shot predictions for observability metrics.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Leveraging LLMs and LangGraph for Flight Data Retrieval

Discover how FlightAware combines LLMs and LangGraph to create an intelligent chatbot interface for flight searches, featuring practical implementation examples and workflow orchestration techniques.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Building Scalable Cross-Modal Search with Ray

Discover how to build a powerful fashion image retrieval system using Ray and Pinecone, enabling efficient text-to-image and image-to-image search with CLIP embeddings and vector similarity.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Scaling LLM Inference - AWS Inferentia Meets Ray Serve on EKS

Discover how to build scalable, cost-effective LLM inference infrastructure using Ray Serve and AWS Inferentia on Amazon EKS, optimizing deployment of models like Llama2 and Mistral-7B.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Introduction to Anyscale and Ray AI Libraries for Distributed Machine Learning

Discover how to scale AI workflows using Ray and Anyscale, from fundamental concepts to hands-on implementation with distributed machine learning libraries and practical notebooks.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Pinterest's ML Evolution: Distributed Training with Ray

Uncover Pinterest's ML journey in optimizing recommender systems using Ray for distributed training. Explore challenges, solutions, and innovations in scaling data-intensive workloads across thousands of jobs.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Llama 1, 2, 3 - On the Way to Open Intelligence

Dive into the evolution of Large Language Models with Meta's GenAI Director. Explore Llama's journey, its impact on open AI, and the future of collaborative LLM development.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

LlamaIndex's Vision for Intelligent AI Assistants

Explore LlamaIndex's vision for advanced AI assistants, delving into multi-agent systems, sophisticated reasoning, and cutting-edge RAG modules for tackling complex tasks across diverse data sources.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Pioneering a Next-Gen AI Platform with Ray at eBay

Dive into eBay's AI platform transformation, exploring Ray's impact on batch inference, feature engineering, distributed training, and comprehensive AI solutions. Gain insights on challenges, solutions, and lessons learned.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Generative AI and Proprietary Data: Ensuring Security in Enterprise AI Adoption

Unlock secure enterprise AI adoption with confidential computing. Learn how to leverage LLMs while keeping sensitive data encrypted throughout the AI workflow, maintaining prediction quality and data privacy.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

ByteDance's Platform for Reinforcement Learning from Human Feedback

Explore ByteDance's journey in building a video data processing pipeline using Ray's ecosystem for creating realistic video generation models from text instructions.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Spotify Harnesses Ray for Next-Gen AI Infrastructure

Dive into Spotify's journey of scaling AI infrastructure using Ray on Google Kubernetes Engine, exploring challenges and optimizations for large-scale LLM training and deployment.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Reddit's ML Evolution: Scaling with Ray and KubeRay

Discover how Reddit leverages Ray and KubeRay to scale ML operations, achieving 6x faster model training and enabling scalable LLM deployment for improved developer productivity.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Canva's AI Leap: Scaling with Ray and Anyscale - Ray Summit 2024

Discover how Canva scaled AI capabilities using Ray and Anyscale. Learn about integrating RayTurbo, leveraging heterogeneous training clusters, and improving efficiency in AI operations for high-growth environments.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Databricks' vLLM Optimization for Cost-Effective LLM Inference - Ray Summit 2024

Discover strategies for optimizing vLLM to enhance LLM inference performance, reduce GPU idle time, and accelerate quantization, leading to cost-effective large-scale language model deployment.

• YouTube
• 28 minutes
• Self-Paced
• Free Video