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Amazon SageMaker unveils the Cohere Command R fine-tuning model

AWS Machine Learning Blog

This latest addition to the SageMaker suite of machine learning (ML) capabilities empowers enterprises to harness the power of large language models (LLMs) and unlock their full potential for a wide range of applications. James Yi is a Senior AI/ML Partner Solutions Architect in the Emerging Technologies team at Amazon Web Services.

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Top Use Cases of AI in the Banking Sector

Becoming Human

AI Chatbots The banking sector has started to use AI and ML (machine learning) significantly, with chatbots being one of the most popular applications. Chatbots, along with conversational AI , can provide customer support, handle customer queries, and even process transactions. This is where AI and ML can be extremely useful.

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Introducing AzCorpus: A Game-Changing Resource for NLP Applications in Azerbaijani Language

Mlearning.ai

Introduction Natural language processing and deep learning models have seen significant advancements in the last decade, with attention-based Transformer models becoming increasingly popular for their ability to perform efficiently in various tasks that traditional Recurrent Neural Networks (RNNs) struggled with.

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AI Drug Discovery: How It’s Changing the Game

Becoming Human

Machine Learning Machine learning (ML) focuses on training computer algorithms to learn from data and improve their performance, without being explicitly programmed. ML solutions encompass a diverse array of branches, each with its own unique characteristics and methodologies. A few AI technologies are empowering drug design.

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NLP News Cypher | 08.23.20

Towards AI

Photo by adrianna geo on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 08.23.20 A toolkit that allows the developer to dig deep into language models, in addition to dataset visualization. I tend to view LIT as an ML demo on steroids for prototyping. Fury What a week.

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Code Evolution: Transforming Software Development with Generative AI Adoption

Becoming Human

Natural Language Processing (NLP) for Requirements: Generative AI is a useful technology for requirements analysis and collection since it can be used to interpret and comprehend natural language. Designers can use generative models to develop and refine visual aspects with the help of tools like Runway ML.

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NLP for Chatbots: Understanding the Future of Intelligent Conversations

Heartbeat

Yet not all chatbots are made equal, and some are more adept than others in deciphering and answering natural language questions. Natural language processing (NLP) can help with this. Consumers may communicate with the chatbot by asking inquiries like “Can I alter my flight?”