Making Your Enterprise GenAI Ready and GenAI Enterprise Ready
Prepare your organization for GenAI challenges and opportunities. Learn best practices for integrating GenAI capabilities with enterprise security, privacy, and guardrails. Explore Google Cloud's innovative GenAI solutions for enterprise environments.
Enterprise Vector-based Information Retrieval and Prompt Engineering at Scale Using Open Source on AWS
Build enterprise-scale vector-based information retrieval systems using open source technologies on AWS, addressing challenges in Retrieval Augmented Generation for accurate, hallucination-free results.
Building Context-Aware Reasoning Applications with LangChain and LangSmith
Explore context-aware reasoning in LLM applications. Learn about cognitive architectures, LangChain, and LangSmith for building differentiated AI products. Gain insights on evaluation and practical techniques.
Embeddings and Vectors: The Key to Production AI
Explore how teams program AI with data using embeddings and vectors, and learn about future approaches for building production AI applications.
Best Practices for Productionizing Distributed Training with Ray Train
Explore fault-tolerant distributed training techniques using Ray Train, covering experiment restoration, node failure recovery, cloud storage snapshots, and large model checkpointing for efficient AI workloads.
Building a Chat Assistant with Canopy and Anyscale Endpoints
Explore building RAG-based chat assistants using Canopy and Anyscale Endpoints. Learn architecture, see live examples, and get started with your own project using flexible frameworks and serverless LLM APIs.
Scalable and Cost-Efficient AI Workloads with AWS and Anyscale
Learn to scale and productionize GenAI and LLM workloads cost-effectively using AWS compute instances and Anyscale's capabilities for ambitious AI projects.
Optimizing LLM Inference with AWS Trainium, Ray, vLLM, and Anyscale
Explore cost-effective LLM inference scaling using AWS accelerators, Ray, vLLM, and Anyscale. Learn to build a complete stack on EKS and leverage advanced cluster management for enterprise-grade GenAI workloads.
Perception of Visual Art and Topological Data Analysis
Explore topological data analysis applications in visual art perception, comparing eye movements for abstract paintings vs. AI-generated images using algebraic topology methods.
No-Code Quantum Computing
Explore no-code quantum computing with Klem Jankiewicz, uncovering accessible approaches to this cutting-edge technology for non-experts.
Solving Complex Quantum Chemistry Problems with Amazon Braket
Explore quantum chemistry problem-solving using Amazon Braket with insights from an applied scientist at QHack 2023.
Procedural Generation with Quantum Computers - QHack 2023
Explore procedural generation using quantum computers, from terrain and map creation to sentence generation, with applications in games, art, and governance.
Getting Started with Amazon Braket
Explore Amazon Braket's quantum computing capabilities with AWS Senior Solutions Architect Vanessa Hernandez Mateos at QHack 2023.
LinkDoor - A Hidden Attack Surface in the Android Netlink Kernel Modules
Explore Netlink vulnerabilities in Android kernel modules, uncovering security threats and exploitation techniques. Learn to analyze and mitigate risks in this overlooked attack surface.
C++ Zero Overhead Pass by Value Through Invocable Abstractions - Lecture
Explore techniques for eliminating copy/move overhead when passing non-trivial objects by value through invocable C++ abstractions, enhancing performance in function calls.
The Cryptography Packages in Julia: What is Missing?
Explore Julia's cryptography ecosystem, comparing it to other languages and identifying areas for improvement to enhance adoption beyond scientific computing.
ITensorNetworks.jl - Introduction to Tensor Network Algorithms in Julia
Explore tensor network algorithms and their implementation in Julia using ITensorNetworks.jl for efficient quantum many-body simulations.
FastIce.jl: A Massively Parallel Ice Flow Model Running on GPUs
Explore FastIce.jl, a Julia-based ice flow model for GPUs. Learn about its modular architecture, performance on supercomputers, and applications in efficient large-scale ice sheet modeling.
Pinecone Vector Database - Build Knowledgeable AI
Discover vector databases' advantages, explore Pinecone's innovative features, and watch a live demo on getting started with its powerful search capabilities.
Reviewing the JDK 23 Release Notes
Explore JDK 23's release notes, covering new features, changes, and updates in Java development. Gain insights into performance improvements, security enhancements, and tooling modifications.
Advanced RAG Scenarios: Building Your Own Database Agents - Developing AI Agents for Natural Language Database Interaction
Develop AI agents for natural language database interactions, enabling efficient data querying and analysis without advanced SQL knowledge.