A recap of AWS re:Invent 2024 Day 2, covering the CEO keynote, new AI/cloud service announcements, and technical sessions on serverless and SQS.
Highlights key announcements and innovations from the AWS re:Invent 2024 conference, covering new services and updates across AI, containers, and integration.
A developer discusses why reading code is difficult and offers practical tips to improve this essential skill, especially in the age of AI.
AWS Lambda's new code editor features an improved Amazon Q Developer AI assistant for generating and debugging Lambda functions with better in-line code previews.
Explores using the RAG pattern with Azure Cosmos DB and Azure AI tools to enhance generative AI application performance and cost efficiency.
A guide on transitioning Generative AI applications from proof-of-concept to production, covering architecture, security, and operations.
An overview of Azure AI Foundry, a unified platform for building and deploying AI solutions on Microsoft Azure, covering its features and benefits.
Explores the common architectural components and implementation steps for building a scalable generative AI platform, from basic models to complex systems.
An AWS expert critiques AWS's overwhelming focus on Generative AI, arguing it neglects core cloud services and alienates traditional cloud engineers.
A guide to simplifying LLM evaluation workflows using clear metrics, chain-of-thought, and few-shot prompts, inspired by real-world examples.
Explores key prompt engineering techniques like zero-shot, few-shot, and chain-of-thought to improve generative AI outputs.
Analyzes public reactions to AI bias claims, contrasting them with responses to traditional software bugs, using a viral example.
Explores how Amazon Q generative AI enhances security and efficiency throughout the software development lifecycle (SDLC).
A software engineer reflects on the maturation of the software industry and argues that generative AI cannot replace the apprenticeship and foundational knowledge needed to build engineering teams.
Analyzes the complex total cost of ownership for deploying generative AI models in production, beyond just raw compute expenses.
A developer shares their experience speaking at the AWS Summit Singapore 2024, covering topics like Amazon EKS and AWS Network Firewall.
Explores the application of diffusion models to video generation, covering technical challenges, parameterization, and sampling methods.
Interview with Sema CEO Matt Van Itallie on using generative AI for code analysis, developer productivity, and explaining software to non-technical executives.
A study guide for the Microsoft AI-900 Azure AI Fundamentals exam, covering AI workloads, machine learning, and generative AI.
A tutorial on building a generative transformer model from scratch in Julia, trained on Shakespeare to create GPT-like text.
