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Month: March 2024

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  • UC Berkeley Researchers Introduce the Touch-Vision-Language (TVL) Dataset for Multimodal Alignment

UC Berkeley Researchers Introduce the Touch-Vision-Language (TVL) Dataset for Multimodal Alignment

Almost all forms of biological perception are multimodal by design, allowing agents to integrate and synthesize data from several sources. Linking modalities, including vision, language, audio, temperature, and robot behaviors,…

Researchers from Tsinghua University and Microsoft AI Unveil a Breakthrough in Language Model Training: The Path to Optimal Learning Efficiency

With the rise of language models, there has been an enormous focus on improving the learning of  LMs to accelerate the learning speed and achieve a certain model performance with…

H2O.ai releases new language model H2O-Danube-1.8B for mobile

H2O-Danube-1.8B super tiny LLM model designed to run on smartphones, laptops, desktops and IoT devices, spurring growth in natural language applications and further democratizing AI H2O.ai, the open source leader…

Redefining Evaluation: Towards Generation-Based Metrics for Assessing Large Language Models

The exploration of large language models (LLMs) has significantly advanced the capabilities of machines in understanding and generating human-like text. Scaled from millions to billions of parameters, these models represent…

This AI Paper Introduces BABILong Framework: A Generative Benchmark for Testing Natural Language Processing (NLP) Models on Processing Arbitrarily Lengthy Documents

Advances in the field of Machine Learning in recent times have resulted in larger input sizes for models. However, the quadratic scaling of computing needed for transformer self-attention poses certain…

Groq® acquires Definitive Intelligence to launch GroqCloud

Definitive Intelligence Co-founder and CEO Sunny Madra to Lead New GroqCloud Business Unit and Launch New Developer Playground Groq®, a generative AI solutions company, has acquired Definitive Intelligence, a company redefining how businesses…

Unlocking the Full Potential of Vision-Language Models: Introducing VISION-FLAN for Superior Visual Instruction Tuning and Diverse Task Mastery

Recent advances in vision-language models (VLMs) have led to impressive AI assistants capable of understanding and responding to both text and images. However, these models still have limitations that researchers…

Meet TOWER: An Open Multilingual Large Language Model for Translation-Related Tasks

In an era where the world is increasingly interconnected, the demand for accurate and efficient translation across multiple languages has never been higher. While effective, earlier translation methods often need…

Advancing Large Language Models for Structured Knowledge Grounding with StructLM: Model Based on CodeLlama Architecture

We cannot deny the significant strides made in natural language processing (NLP) through large language models (LLMs). Still, these models often need to catch up when dealing with the complexities…

Meta AI Research Introduces MobileLLM: Pioneering Machine Learning Innovations for Enhanced On-Device Intelligence

The evolution of large language models (LLMs) marks a revolutionary stride towards simulating human-like understanding and generating natural language. These models, through their capacity to process and analyze vast datasets,…