generate

Data is the lifeblood of modern applications, driving everything from application testing to machine learning (ML) model training and evaluation. As data demands continue to surge, the emergence of generative AI models presents an innovative solution. These large language models (LLMs), trained on expansive data corpora, possess the remarkable capabilityContinue Reading

Resilient architectures are the foundation upon which successful businesses are built. However, keeping up with the latest advancements and making sure your systems are resilient can be a daunting task. Between monitoring, analyzing, and documenting architectural findings, a lack of crucial information can leave your organization vulnerable to potential risksContinue Reading

Recent enhancements in the field of generative AI, such as media generation technologies, are rapidly transforming the way businesses create and manipulate visual content. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere,Continue Reading

This post is co-written with Mayur Patel, Nick Koenig, and Karthik Jetti from GoDaddy. GoDaddy empowers everyday entrepreneurs by providing all the help and tools to succeed online. With 21 million customers worldwide, GoDaddy’s global solutions help seamlessly connect entrepreneurs’ identity and presence with commerce, leading to profitable growth. AtContinue Reading

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt. The results are similar to fine-tuning LLMs without the complexitiesContinue Reading

Generative AI is revolutionizing the way developers approach programming by providing intelligent assistance and automation throughout the coding process. With the power of advanced language models and machine learning (ML) algorithms, generative AI can understand the context and intent behind a programmer’s code, offering valuable suggestions, completing code snippets, andContinue Reading

Evaluating your Retrieval Augmented Generation (RAG) system to make sure it fulfils your business requirements is paramount before deploying it to production environments. However, this requires acquiring a high-quality dataset of real-world question-answer pairs, which can be a daunting task, especially in the early stages of development. This is whereContinue Reading

Generative artificial intelligence (AI) models have opened up new possibilities for automating and enhancing software development workflows. Specifically, the emergent capability for generative models to produce code based on natural language prompts has opened many doors to how developers and DevOps professionals approach their work and improve their efficiency. InContinue Reading

In the diverse toolkit available for deploying cloud infrastructure, Agents for Amazon Bedrock offers a practical and innovative option for teams looking to enhance their infrastructure as code (IaC) processes. Agents for Amazon Bedrock automates the prompt engineering and orchestration of user-requested tasks. After being configured, an agent builds theContinue Reading