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Amazon Bedrock

Improve the efficiency of code review and authorization using generative AI through Amazon Bedrock.

In the software development world, code review and approval are vital steps for ensuring software quality, functionality, and security. However, managers often face challenges with these processes, including lack of technical expertise, time constraints, high volumes of change requests, manual effort requirements, and necessary documentation. Generative artificial intelligence (AI) combined with AWS deployment tools and…

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The progression of PGA TOUR’s AI-powered virtual assistant, from initial idea through the development process to the finished prototype.

Artificial intelligence (AI) experts from Amazon and the PGA Tour have developed a prototype virtual assistant that uses large language models (LLMs) and the Retrieval-Augmented-Generation (RAG) framework to provide real-time, interactive data and information to fans. This post summarises a project that involved the AWS Generative AI Innovation Center, AWS Professional Services and the PGA…

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Utilize AWS AI services and LLMs for managing and controlling audio and text conversations.

This article focuses on the issue of moderating content on online platforms, such as games and social communities, to prevent hate speech, cyberbullying, harassment, and scams, and presents a solution using various services provided by Amazon Web Services (AWS). Social platforms need a moderation solution that is easy to initiate, customisable, and considers factors like latency…

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Utilize Amazon Bedrock and AWS Step Functions to facilitate the automation of altering image backgrounds.

Many customers in sectors such as creative advertising, media and entertainment, ecommerce, and fashion often need to change the background in a large number of images, which usually involves a time-consuming manual editing process for each image. Amazon Bedrock, in conjunction with AWS Step Functions, makes it easy to automate the process of changing backgrounds…

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Improve Amazon Connect and Lex by incorporating generative AI features.

Incorporating effective self-service options is crucial for modern contact centers, but implementation can be challenging. Amazon Lex provides chatbot functions, such as automatic speech recognition (ASR) and natural language understanding (NLU), which allows bots to interpret and respond to customer needs. This can be hindered by factors such as diverse accents, pronunciation, grammar, and background…

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Create a chatbot application, utilizing Knowledge Bases, for Amazon Bedrock that’s equipped to handle context-based interactions.

Modern chatbots are revolutionizing the customer service sector by providing 24/7 support in multiple languages. Their ability to handle concurrent inquiries in real time, provide relevant data-driven insights, and scale effortlessly make them a cost-effective solution for customer engagement. These benefits are magnified when chatbots are integrated with internal knowledge bases and large language models…

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Strategies and methods for overseeing extensive language models on AWS.

Large Language Models (LLMs) have significantly impacted various functions in the field of Natural Language Processing (NLP), such as language translation, text summarization, and sentiment analysis. Despite these advantages, monitoring LLM's performance and behavior has become increasingly challenging due to their growing size and complexity. Therefore, it is necessary to implement an effective and scalable…

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