Generative AI

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Build a Multi-Agent System with LangGraph and Mistral on AWS

Amazon Bedrock, Amazon Machine Learning, Foundation models, Generative AI, Technical How-to /

Agents are revolutionizing the landscape of generative AI, serving as the bridge between large language models (LLMs) and real-world applications. These intelligent, autonomous systems are poised to become the cornerstone of AI adoption across industries, heralding a new era of human-AI collaboration and problem-solving. By using the power of LLMs and combining them with specialized […]

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Build a dynamic, role-based AI agent using Amazon Bedrock inline agents

AI/ML, Amazon Bedrock, Amazon Bedrock Agents, Amazon Machine Learning, Generative AI /

AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate complex workflows. We are seeing Amazon Bedrock Agents applied in investment research, insurance claims processing, root cause analysis, advertising campaigns, and much more. Agents use the reasoning capability of foundation models (FMs) to break down

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Building a virtual meteorologist using Amazon Bedrock Agents

Amazon Bedrock, Amazon Bedrock Agents, Amazon Cognito, AWS Amplify, AWS Lambda, Generative AI, Intermediate (200) /

The integration of generative AI capabilities is driving transformative changes across many industries. Although weather information is accessible through multiple channels, businesses that heavily rely on meteorological data require robust and scalable solutions to effectively manage and use these critical insights and reduce manual processes. This solution demonstrates how to create an AI-powered virtual meteorologist

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Create a virtual stock technical analyst using Amazon Bedrock Agents

Advanced (300), Amazon Bedrock, Amazon Bedrock Agents, Financial Services, Generative AI /

Stock technical analysis questions can be as unique as the individual stock analyst themselves. Queries often have multiple technical indicators like Simple Moving Average (SMA), Exponential Moving Average (EMA), Relative Strength Index (RSI), and others. Answering these varied questions would mean writing complex business logic to unpack the query into parts and fetching the necessary

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Build a multimodal social media content generator using Amazon Bedrock

Amazon Bedrock, Content Production, Generative AI, Technical How-to /

In today’s digital age, social media has revolutionized the way brands interact with their consumers, creating a need for dynamic and engaging content that resonates with their target audience. There’s growing competition for consumer attention in this space; content creators and influencers face constant challenges to produce new, engaging, and brand-consistent content. The challenges come

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Build an ecommerce product recommendation chatbot with Amazon Bedrock Agents

AI/ML, Amazon Bedrock, Artificial Intelligence, Generative AI, Industries, Intermediate (200), Retail, Technical How-to /

Many ecommerce applications want to provide their users with a human-like chatbot that guides them to choose the best product as a gift for their loved ones or friends. To enhance the customer experience, the chatbot need to engage in a natural, conversational manner to understand the user’s preferences and requirements, such as the recipient’s

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Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

Advanced (300), Amazon Bedrock, Amazon Redshift, Generative AI, Technical How-to /

With the advent of generative AI solutions, organizations are finding different ways to apply these technologies to gain edge over their competitors. Intelligent applications, powered by advanced foundation models (FMs) trained on huge datasets, can now understand natural language, interpret meaning and intent, and generate contextually relevant and human-like responses. This is fueling innovation across

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Build generative AI agents with Amazon Bedrock, Amazon DynamoDB, Amazon Kendra, Amazon Lex, and LangChain

Amazon Bedrock, Amazon Kendra, Amazon Lex, Amazon Machine Learning, Artificial Intelligence, Generative AI, Technical How-to /

Generative AI agents are capable of producing human-like responses and engaging in natural language conversations by orchestrating a chain of calls to foundation models (FMs) and other augmenting tools based on user input. Instead of only fulfilling predefined intents through a static decision tree, agents are autonomous within the context of their suite of available

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