Generative AI

Auto Added by WPeMatico

Streamline GitHub workflows with generative AI using Amazon Bedrock and MCP

Advanced (300), AI/ML, Amazon Bedrock, Artificial Intelligence, Generative AI, How-To /

Customers are increasingly looking to use the power of large language models (LLMs) to solve real-world problems. However, bridging the gap between these LLMs and practical applications has been a challenge. AI agents have appeared as an innovative technology that bridges this gap. The foundation models (FMs) available through Amazon Bedrock serve as the cognitive […]

Streamline GitHub workflows with generative AI using Amazon Bedrock and MCP Read More »

Generate suspicious transaction report drafts for financial compliance using generative AI

Advanced (300), Amazon Bedrock, Amazon Bedrock Agents, Artificial Intelligence, Generative AI, Technical How-to /

Financial regulations and compliance are constantly changing, and automation of compliance reporting has emerged as a game changer in the financial industry. Amazon Web Services (AWS) generative AI solutions offer a seamless and efficient approach to automate this reporting process. The integration of AWS generative AI into the compliance framework not only enhances efficiency but

Generate suspicious transaction report drafts for financial compliance using generative AI Read More »

Fine-tune and deploy Meta Llama 3.2 Vision for generative AI-powered web automation using AWS DLCs, Amazon EKS, and Amazon Bedrock

Amazon Bedrock, Amazon Elastic Kubernetes Service, Artificial Intelligence, Generative AI, Intermediate (200) /

Fine-tuning of large language models (LLMs) has emerged as a crucial technique for organizations seeking to adapt powerful foundation models (FMs) to their specific needs. Rather than training models from scratch—a process that can cost millions of dollars and require extensive computational resources—companies can customize existing models with domain-specific data at a fraction of the

Fine-tune and deploy Meta Llama 3.2 Vision for generative AI-powered web automation using AWS DLCs, Amazon EKS, and Amazon Bedrock Read More »

Build an intelligent eDiscovery solution using Amazon Bedrock Agents

Amazon Bedrock, Amazon Bedrock Agents, Best Practices, Customer Solutions, Generative AI, Technical How-to /

Legal teams spend bulk of their time manually reviewing documents during eDiscovery. This process involves analyzing electronically stored information across emails, contracts, financial records, and collaboration systems for legal proceedings. This manual approach creates significant bottlenecks: attorneys must identify privileged communications, assess legal risks, extract contractual obligations, and maintain regulatory compliance across thousands of documents

Build an intelligent eDiscovery solution using Amazon Bedrock Agents Read More »

How PerformLine uses prompt engineering on Amazon Bedrock to detect compliance violations 

Amazon Bedrock, Amazon Bedrock Prompt Management, Amazon Nova, Artificial Intelligence, AWS Lambda, Compliance, Customer Solutions, Generative AI, Serverless /

This post is co-written with Bogdan Arsenie and Nick Mattei from PerformLine. PerformLine operates within the marketing compliance industry, a specialized subset of the broader compliance software market, which includes various compliance solutions like anti-money laundering (AML), know your customer (KYC), and others. Specifically, marketing compliance refers to adhering to regulations and guidelines set by

How PerformLine uses prompt engineering on Amazon Bedrock to detect compliance violations  Read More »

Benchmarking Amazon Nova: A comprehensive analysis through MT-Bench and Arena-Hard-Auto

Advanced (300), AI/ML, Amazon Bedrock, Amazon Machine Learning, Amazon Nova, Generative AI, Technical How-to /

Large language models (LLMs) have rapidly evolved, becoming integral to applications ranging from conversational AI to complex reasoning tasks. However, as models grow in size and capability, effectively evaluating their performance has become increasingly challenging. Traditional benchmarking metrics like perplexity and BLEU scores often fail to capture the nuances of real-world interactions, making human-aligned evaluation

Benchmarking Amazon Nova: A comprehensive analysis through MT-Bench and Arena-Hard-Auto Read More »

Use generative AI in Amazon Bedrock for enhanced recommendation generation in equipment maintenance

Amazon Bedrock, Amazon Bedrock Knowledge Bases, Amazon Nova, Amazon SageMaker Ground Truth, Experience-Based Acceleration, Generative AI, Manufacturing, Recommendation Engine, Technical How-to /

In the manufacturing world, valuable insights from service reports often remain underutilized in document storage systems. This post explores how Amazon Web Services (AWS) customers can build a solution that automates the digitisation and extraction of crucial information from many reports using generative AI. The solution uses Amazon Nova Pro on Amazon Bedrock and Amazon

Use generative AI in Amazon Bedrock for enhanced recommendation generation in equipment maintenance Read More »

Building enterprise-scale RAG applications with Amazon S3 Vectors and DeepSeek R1 on Amazon SageMaker AI

Amazon SageMaker, Amazon SageMaker AI, Generative AI, Launch /

Organizations are adopting large language models (LLMs), such as DeepSeek R1, to transform business processes, enhance customer experiences, and drive innovation at unprecedented speed. However, standalone LLMs have key limitations such as hallucinations, outdated knowledge, and no access to proprietary data. Retrieval Augmented Generation (RAG) addresses these gaps by combining semantic search with generative AI,

Building enterprise-scale RAG applications with Amazon S3 Vectors and DeepSeek R1 on Amazon SageMaker AI Read More »

Amazon Bedrock Knowledge Bases now supports Amazon OpenSearch Service Managed Cluster as vector store

Advanced (300), Amazon Bedrock, Amazon Bedrock Knowledge Bases, Amazon OpenSearch Service, Artificial Intelligence, Generative AI, Technical How-to /

Amazon Bedrock Knowledge Bases has extended its vector store options by enabling support for Amazon OpenSearch Service managed clusters, further strengthening its capabilities as a fully managed Retrieval Augmented Generation (RAG) solution. This enhancement builds on the core functionality of Amazon Bedrock Knowledge Bases , which is designed to seamlessly connect foundation models (FMs) with

Amazon Bedrock Knowledge Bases now supports Amazon OpenSearch Service Managed Cluster as vector store Read More »

How PayU built a secure enterprise AI assistant using Amazon Bedrock

AI/ML, Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Guardrails, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, Customer Solutions, Generative AI /

This is a guest post co-written with Rahul Ghosh, Sandeep Kumar Veerlapati, Rahmat Khan, and Mudit Chopra from PayU. PayU offers a full-stack digital financial services system that serves the financial needs of merchants, banks, and consumers through technology. As a Central Bank-regulated financial institution in India, we recently observed a surge in our employees’

How PayU built a secure enterprise AI assistant using Amazon Bedrock Read More »