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Natural Language Processing (NLP): Unlocking Inclusivity and Equitable Futures in Capital Infrastructure Planning

Unite.AI

Natural Language Processing (NLP) and Artificial Intelligence (AI) emerge as a powerful tools to revolutionize capital infrastructure planning, foster inclusivity, and drive an equitable future by engaging communities in decision-making.

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Smart Documents: AI-Driven Query, Conversation, and Argumentation

John Snow Labs

The advent of AI has revolutionized traditional document management, transforming it into an interactive and dynamic process. In this talk, we delve into the capabilities of Smart Documents, powered by advanced AI techniques, which can respond to queries, engage in meaningful conversations, and construct and evaluate arguments.

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Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning Blog

An AI assistant is an intelligent system that understands natural language queries and interacts with various tools, data sources, and APIs to perform tasks or retrieve information on behalf of the user. The vectorization process is implemented in code. on Amazon Bedrock. Anthropic Claude v2.1

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Redefining Conversational AI with Large Language Models

Topbots

Source: rawpixel.com Conversational AI is an application of LLMs that has triggered a lot of buzz and attention due to its scalability across many industries and use cases. While conversational systems have existed for decades, LLMs have brought the quality push that was needed for their large-scale adoption.

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Is Artificial Intelligence relevant to insurance?

IBM Journey to AI blog

The early versions of AI were capable of predictive modelling (e.g., Soon after, AI’s capabilities extended to Speech and Natural Language processing, such as with IBM Watson, and for Image Recognition, which is now ubiquitously used for unlocking phones and other biometric security.

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Conversational AI with LangChain and Comet

Heartbeat

This evolution paved the way for the development of conversational AI. The recent rise of Large Language Models (LLMs) has been a game changer for the ChatBot industry. These models are trained on extensive data and have been the driving force behind conversational tools like BARD and ChatGPT.

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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning Blog

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

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