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AI
This AI Paper from CMU Introduce OmniACT: The First-of-a-Kind Dataset and…
In an era of ubiquitous digital interfaces, the quest to refine the interaction between humans and computers has led…
AI in Higher Education – Balancing the Risks and Rewards
A significant portion of the discussion around generative AI tools has focused on the challenges related to academic integrity and…
Reimagine Your Space with AI: How to Transform Your Home in 2024
In today’s fast-paced world, interior design has taken a leap into the future with the integration of artificial intelligence…
This Machine Learning Paper from Microsoft Proposes ChunkAttention: A Novel…
Developing large language models (LLMs) in artificial intelligence represents a significant leap forward. These…
UC Berkeley Researchers Introduce the Touch-Vision-Language (TVL) Dataset…
Almost all forms of biological perception are multimodal by design, allowing agents to integrate and synthesize data…
Redefining Evaluation: Towards Generation-Based Metrics for Assessing Large…
The exploration of large language models (LLMs) has significantly advanced the capabilities of machines in…
This AI Paper Introduces BABILong Framework: A Generative Benchmark for…
Advances in the field of Machine Learning in recent times have resulted in larger input sizes for models. However,…
Unlocking the Full Potential of Vision-Language Models: Introducing…
Recent advances in vision-language models (VLMs) have led to impressive AI assistants capable of understanding and…
Advancing Large Language Models for Structured Knowledge Grounding with…
We cannot deny the significant strides made in natural language processing (NLP) through large language models…
Meta AI Research Introduces MobileLLM: Pioneering Machine Learning…
The evolution of large language models (LLMs) marks a revolutionary stride towards simulating human-like…