improve

Improve conversational AI response times for enterprise applications with the Amazon Bedrock streaming API and AWS AppSync | Amazon Web Services

Many enterprises are using large language models (LLMs) in Amazon Bedrock to gain insights from their internal data sources. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, andContinue Reading

Study shows addressing working memory can help students with math difficulty improve word problem-solving skills

In: Technology

A new study from the University of Kansas explores the role of working memory in word problem-solving for students with and without math difficulties. Researchers found that using interventions to improve working memory can potentially benefit students who struggle with math. Working memory is a limited amount of information humansContinue Reading

How AI tools can improve manufacturing worker safety, product quality

In: Technology

Recent artificial intelligence advances have largely focused on text, but AI increasingly shows promise in other contexts, including manufacturing and the service industry. In these sectors, targeted AI improvements can improve product quality and worker safety, according to a new study co-authored by an interdisciplinary team of experts from theContinue Reading

Improve Amazon Nova migration performance with data-aware prompt optimization | Amazon Web Services

In: Artificial Intelligence

In the era of generative AI, new large language models (LLMs) are continually emerging, each with unique capabilities, architectures, and optimizations. Among these, Amazon Nova foundation models (FMs) deliver frontier intelligence and industry-leading cost-performance, available exclusively on Amazon Bedrock. Since its launch in 2024, generative AI practitioners, including the teamsContinue Reading

Customize Amazon Nova models to improve tool usage | Amazon Web Services

In: Artificial Intelligence

Modern large language models (LLMs) excel in language processing but are limited by their static training data. However, as industries require more adaptive, decision-making AI, integrating tools and external APIs has become essential. This has led to the evolution and rapid rise of agentic workflows, where AI systems autonomously plan,Continue Reading

Evaluate and improve performance of Amazon Bedrock Knowledge Bases | Amazon Web Services

In: Artificial Intelligence

Amazon Bedrock Knowledge Bases is a fully managed capability that helps implement entire Retrieval Augmented Generation (RAG) workflows from ingestion to retrieval and prompt augmentation without having to build custom integrations to data sources and manage data flows. There is no single way to optimize knowledge base performance: each useContinue Reading

Using Amazon Rekognition to improve bicycle safety | Amazon Web Services

In: Artificial Intelligence

Cycling is a fun way to stay fit, enjoy nature, and connect with friends and acquaintances. However, riding is becoming increasingly dangerous, especially in situations where cyclists and cars share the road. According to the NHTSA, in the United States an average of 883 people on bicycles are killed inContinue Reading

Using transcription confidence scores to improve slot filling in Amazon Lex | Amazon Web Services

In: Artificial Intelligence

When building voice-enabled chatbots with Amazon Lex, one of the biggest challenges is accurately capturing user speech input for slot values. For example, when a user needs to provide their account number or confirmation code, speech recognition accuracy becomes crucial. This is where transcription confidence scores come in to helpContinue Reading

Improve the performance of your Generative AI applications with Prompt Optimization on Amazon Bedrock | Amazon Web Services

In: Artificial Intelligence

Prompt engineering refers to the practice of writing instructions to get the desired responses from foundation models (FMs). You might have to spend months experimenting and iterating on your prompts, following the best practices for each model, to achieve your desired output. Furthermore, these prompts are specific to a modelContinue Reading

Improve factual consistency with LLM Debates | Amazon Web Services

In: Artificial Intelligence

In this post, we demonstrate the potential of large language model (LLM) debates using a supervised dataset with ground truth. In this LLM debate, we have two debater LLMs, each one taking one side of an argument and defending it based on the previous arguments for N(=3) rounds. The argumentsContinue Reading

improve

Improve conversational AI response times for enterprise applications with the Amazon Bedrock streaming API and AWS AppSync | Amazon Web Services

Study shows addressing working memory can help students with math difficulty improve word problem-solving skills

How AI tools can improve manufacturing worker safety, product quality

Improve Amazon Nova migration performance with data-aware prompt optimization | Amazon Web Services

Customize Amazon Nova models to improve tool usage | Amazon Web Services

Evaluate and improve performance of Amazon Bedrock Knowledge Bases | Amazon Web Services

Using Amazon Rekognition to improve bicycle safety | Amazon Web Services

Using transcription confidence scores to improve slot filling in Amazon Lex | Amazon Web Services

Improve the performance of your Generative AI applications with Prompt Optimization on Amazon Bedrock | Amazon Web Services

Improve factual consistency with LLM Debates | Amazon Web Services

Build an intelligent eDiscovery solution using Amazon Bedrock Agents | Amazon Web Services

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