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AWS Lambda

Develop a comprehensive serverless digital assistant for semantic search using Amazon Bedrock.

Artificial intelligence (AI) has increasingly marked its presence in enterprises. More organizations leverage and customize digital assistants to answer domain-specific queries using a process called Retrieval Augmented Generation (RAG). As companies shift from concepts to production workloads, the focus turns to minimizing operational overhead while optimizing costs and implementing proper security measures. This article covers the…

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Implement a Slack portal for Amazon Bedrock.

Unveiling a game-changing integration, users can now harness the power of generative AI within their Slack workspace via Amazon Bedrock. This rich, new AI experience offers nimble brainstorming sessions, real-time ideation, and document or code snippet drafting. By eliminating distracting context switches, this integration streamlines workflow and powers team collaboration, making it ideal for managing…

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Create personalized, compliant Infrastructure as Code (IaC) scripts for AWS Landing Zone utilizing Amazon Bedrock.

Cloud adoption is a major goal for many organizations today, but it can be a complex and daunting journey. Adopting Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation can simplify the process by allowing businesses to define and manage their cloud environments. However, such tools often require time and resources to learn, which…

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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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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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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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Speed up your Genesys Cloud Amazon Lex bot creation with the automated chatbot designer from Amazon Lex.

Artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing customer experience in the contact center space, ensuring self-service bots, live call analytics, and post-call analytics. Cutting-edge tools like Amazon Lex bots can understand and meet customer needs while improving response times and intelligent routing. Furthermore, Genesys Cloud, an omni-channel orchestration and customer relationship platform,…

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