Remove Generative AI Remove Natural Language Processing Remove NLP
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Integrate natural language processing and generative AI with relational databases

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In this post, we present an approach to using natural language processing (NLP) to query an Amazon Aurora PostgreSQL-Compatible Edition database. The solution presented in this post assumes that an organization has an Aurora PostgreSQL database.

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The Role of Natural Language Processing (NLP) in Modern Chatbots

Analytics Vidhya

Introduction Natural Language Processing (NLP) is the process through which a computer understands natural language. The recent progress in NLP forms the foundation of the new generation of generative AI chatbots.

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L’Oréal: Making cosmetics sustainable with generative AI

AI News

LOral will leverage IBM’s generative AI (GenAI) technology to create innovative and sustainable cosmetic products. The partnership will involve developing a bespoke AI foundation model to supercharge LOrals Research & Innovation (R&I) teams in creating eco-friendly formulations using renewable raw materials.

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Comparing LLMs for Text Summarization and Question Answering

Analytics Vidhya

Large Language Models like BERT, T5, BART, and DistilBERT are powerful tools in natural language processing where each is designed with unique strengths for specific tasks. Whether it’s summarization, question answering, or other NLP applications.

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DeBERTa V3: The Most Recent Member of DeBERTa Family of Generative AI Models

Analytics Vidhya

Introduction DeBERTa v3 is the most recent member of the DeBERTa family of generative AI models, which has taken the world of natural language processing by storm.

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Unlocking RAG’s Potential with ModernBERT

Analytics Vidhya

ModernBERT is an advanced iteration of the original BERT model, meticulously crafted to elevate performance and efficiency in natural language processing (NLP) tasks.

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An Introduction to Prompt Engineering

Analytics Vidhya

Introduction Natural language processing has been a field with affluent areas of implementation using underlying technologies and techniques. In recent years, and especially since the start of 2022, Natural Language Processing (NLP) and Generative AI have experienced improvements.