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Implementing Large Language Models Inference in Pure C++ - A Llama 2 Case Study
Dive into implementing Llama 2 model inference using pure C++, exploring dependency-free solutions and optimization techniques for efficient language model deployment.
No-Code and Low-Code Development: Current Trends and Impact on Programming
Explore the impact of low-code and no-code platforms on software development, examining their potential benefits, limitations, and implications for traditional programming careers in the AI era.
How to Use AI to Power Up Your Database Management System
Discover how AI and database management systems can enhance each other, focusing on PostgreSQL examples and practical applications for optimizing data infrastructure and AI workflows.
Building Amazon Nova Foundation Models with SageMaker HyperPod
Discover how Amazon leverages SageMaker HyperPod's infrastructure and tools to develop Nova Foundation Models, exploring distributed training, observability, and cost-effective inference solutions.
Building an AWS Solutions Architect Agentic App with Amazon Bedrock
Discover how to build an AI-powered solutions architect app using Amazon Bedrock to automate AWS documentation queries, infrastructure deployment, and diagram creation, demonstrated through practical examples.
Next-Generation Amazon SageMaker - The Center for Data, Analytics and AI
Discover how Amazon SageMaker's next-generation platform unifies data, analytics, and AI capabilities, featuring a demonstration of SageMaker Unified Studio and its implementation for Olympics.com 2028.
Full-stack AI Development with AWS Amplify AI Kit
Discover how to build generative AI applications by combining AWS Amplify, Amazon Q, and Bedrock for intelligent search, summarization, and chatbot features in full-stack development.
Reimagine Business Intelligence with Generative AI
Discover how Amazon Q in QuickSight revolutionizes business intelligence with generative AI capabilities, enabling rapid dashboard creation and natural language data analysis for enhanced insights.
Amazon Q - Transforming the Developer Experience for Building with AWS
Discover how Amazon Q accelerates development tasks, from system design to performance optimization, enabling faster application building and troubleshooting while promoting innovation.
Multi-tenant Patterns and Strategies for AI/ML and Generative AI in SaaS
Explore multi-tenant design patterns and strategies for integrating AI/ML and generative AI in SaaS environments, focusing on model mapping, scaling, and tenant-specific customization.
Simplify Generative AI App Development with Agents for Amazon Bedrock
Discover how Agents for Amazon Bedrock enables AI applications to perform complex tasks across enterprise systems, streamlining development and automating multi-step workflows with natural language.
Drive Innovation with AWS Mainframe Modernization Data Replication - ENT204
Discover how to modernize mainframe applications using AWS Cloud's real-time data replication, enabling AI/ML integration and enhanced analytics while maintaining data integrity and accuracy.