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AI
Revolutionizing Text-to-Speech Synthesis: Introducing NaturalSpeech-3 with…
Recent advancements in text-to-speech (TTS) synthesis have struggled to achieve high-quality results due to the…
Researchers from the University of Cambridge and Sussex AI Introduce Spyx:…
The evolution of artificial intelligence, particularly in the realm of neural networks, has significantly advanced…
Meet SynCode: A Novel Machine Learning Framework for Efficient and General…
In recent research, a team of researchers has introduced SynCode, a versatile and efficient approach for generating…
CMU Researchers Present ‘Echo Embeddings’: An Embedding…
Neural text embeddings play a foundational role in many modern natural language processing (NLP) applications. These…
Inflection AI presents Inflection-2.5: An Upgraded AI Model that is…
Inflection AI presents a new advancement in the field of large language models (LLMs), Inflection-2.5, to address…
This AI Paper from NYU and Meta Reveals ‘Machine Learning Beyond…
In recent years, machine learning has significantly shifted away from the assumption that training and testing data…
Bridging Modalities with VisionLLaMA: A Unified Architecture for Vision…
Large language models, predominantly based on transformer architectures, have reshaped natural language processing.…
EasyQuant: Revolutionizing Large Language Model Quantization with…
The relentless advancement in natural language processing (NLP) has ushered in an era of large language models…
Advancing Sample Efficiency in Reinforcement Learning Across Diverse…
Reinforcement Learning (RL) has become a cornerstone for enabling machines to tackle tasks that range from strategic…
IBM AI Research Introduces API-BLEND: A Large Corpora for Training and…
Integrating APIs into Large Language Models (LLMs) represents a significant leap forward in the quest for highly…