Natural Language Processing

Natural language processing is a branch of artificial intelligence concerned with giving computers the ability to understand text and spoken words, much like humans can.

Meta AI Introduces Project CAIRaoke: An End-To-End Neural Network-Based Model That...

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The need of the hour is a better conversational AI, not just AI assistants who can't do more than what has been fed. AI...

Deepmind Researchers Probe Image-Language Transformers and Propose SVO Probes for Verb...

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Fine-tuning is required for a range of functions performed by multimodal image–language transformers. Researchers worldwide are interested in whether these algorithms can detect verbs...

H2O.ai Democratizes State-of-the-Art Deep Learning for Data Scientists and Developers with...

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Application development that combines sophisticated technologies such as AI and ML is progressing, this time by combining multiple deployment outcomes into a single general-purpose,...

ASAPP AI Researchers Propose a Family of Pre-Trained Models (SEW) for...

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Recent research in natural language processing and computer vision has aimed to increase the efficiency of pre-trained models to reduce the financial and environmental...

Meta AI Introduces ‘Data2vec’ : A Self-Supervised Algorithm That Works For...

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Many critical recent developments in AI have been enabled by self-supervised learning. Machines learn by directly observing the world rather than being explicitly instructed...

OpenAI Releases Three Embedding Model Families To Optimize Text Search, Code...

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In the last few decades, neural networks have been used for a wide range of tasks, including image segmentation, natural language processing, and time-series...

Google AI Introduces a Method Called Task-Level Mixture-of-Experts (TaskMoE), that Takes...

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Large-scale language model scaling has resulted in considerable quality gains in natural language understanding (T5), generation (GPT-3), and multilingual neural machine translation (M4). One...

Coqui Introduces ‘YourTTS’: A Zero-Sample Text-to-Speech Model With State-of-The-Art (SOTA) Results

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Recent advancements in end-to-end deep learning models have enabled new and intriguing Text-to-Speech (TTS) use-cases with excellent natural-sounding outcomes. However, the majority of these...

Researchers Propose A Novel Parameter Differentiation-Based Method That Can Automatically Determine...

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In recent years, neural machine translation (NMT) has attracted a lot of attention and has had a lot of success. While traditional NMT is...
Natural Language Understanding and Natural Language Generation

Amazon Research Introduces Deep Reinforcement Learning For NLU Ranking Tasks

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In recent years, voice-based virtual assistants such as Google Assistant and Amazon Alexa have grown popular. This has presented both potential and challenges for...
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