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New Neural Model Enables AI-to-AI Linguistic Communication

Unite.AI

The UNIGE team’s breakthrough goes beyond mere task execution and into advanced human-like language generalization. It involves an AI model capable of absorbing instructions, performing the described tasks, and then conversing with a ‘sister' AI to relay the process in linguistic terms, enabling replication.

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The Role of Vector Databases in Modern Generative AI Applications

Unite.AI

Generative AI and The Need for Vector Databases Generative AI often involves embeddings. Take, for instance, word embeddings in natural language processing (NLP). These models are trained on diverse datasets, enabling them to create embeddings that capture a wide array of linguistic nuances.

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Learn Generative AI With Google

Unite.AI

Covers Google tools for creating your own Generative AI apps. You’ll also learn about the Generative AI model types: unimodal or multimodal, in this course. Introduction to Large Language Models Image Source Course difficulty: Beginner-level Completion time: ~ 45 minutes Prerequisites: No What will AI enthusiasts learn?

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Meet GLiNER: A Generalist AI Model for Named Entity Recognition (NER) Using a Bidirectional Transformer

Marktechpost

A key element of Natural Language Processing (NLP) applications is Named Entity Recognition (NER), which recognizes and classifies named entities, such as names of people, places, dates, and organizations within the text. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

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Top Artificial Intelligence AI Courses from Google

Marktechpost

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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Generative AI use cases for the enterprise

IBM Journey to AI blog

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity.

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Small But Mighty: Small Language Models Breakthroughs in the Era of Dominant Large Language Models

Unite.AI

GPT 3 and similar Large Language Models (LLM) , such as BERT , famous for its bidirectional context understanding, T-5 with its text-to-text approach, and XLNet , which combines autoregressive and autoencoding models, have all played pivotal roles in transforming the Natural Language Processing (NLP) paradigm.