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ChatGPT, the rise of generative AI

CIO

Let’s explore ChatGPT, generative AI in general, how leaders might expect the generative AI story to change over the coming months, and how businesses can stay prepared for what’s new now—and what may come next. It’s only one example of generative AI. What is ChatGPT? ChatGPT is a product of OpenAI.

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Incorporate offline and online human – machine workflows into your generative AI applications on AWS

AWS Machine Learning - AI

Recent advances in artificial intelligence have led to the emergence of generative AI that can produce human-like novel content such as images, text, and audio. These models are pre-trained on massive datasets and, to sometimes fine-tuned with smaller sets of more task specific data.

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

AWS Machine Learning - AI

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. Amazon Lex then invokes an AWS Lambda handler for user intent fulfillment.

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Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat

AWS Machine Learning - AI

One popular approach is using Retrieval Augmented Generation (RAG) to create Q&A systems that comprehend complex information and provide natural responses to queries. RAG allows models to tap into vast knowledge bases and deliver human-like dialogue for applications like chatbots and enterprise search assistants.

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Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock

AWS Machine Learning - AI

Organizations typically counter these hurdles by investing in extensive training programs or hiring specialized personnel, which often leads to increased costs and delayed migration timelines. Generative artificial intelligence (AI) with Amazon Bedrock directly addresses these challenges.

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The journey of PGA TOUR’s generative AI virtual assistant, from concept to development to prototype

AWS Machine Learning - AI

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval.

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Boost employee productivity with automated meeting summaries using Amazon Transcribe, Amazon SageMaker, and LLMs from Hugging Face

AWS Machine Learning - AI

If you prefer to generate post call recording summaries with Amazon Bedrock rather than Amazon SageMaker, checkout this Bedrock sample solution. Its key offering is the Hugging Face Hub, which hosts a vast collection of over 200,000 pre-trained models and 30,000 datasets. Mistral 7B Instruct is developed by Mistral AI.