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Alida gains deeper understanding of customer feedback with Amazon Bedrock Kinman Lam AWS Machine Learning Blog

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​[[{“value”:” This post is co-written with Sherwin Chu from Alida. Alida helps the world’s biggest brands create highly engaged research communities to gather feedback that fuels better customer experiences and product innovation. Alida’s customers receive tens of thousands of engaged responses for a single survey,… Read More »Alida gains deeper understanding of customer feedback with Amazon Bedrock Kinman Lam AWS Machine Learning Blog

Revolutionizing AI: Introducing the Claude 3 Model Family for Enhanced Cognitive Performance Adnan Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Artificial intelligence (AI) is rapidly evolving, with researchers tirelessly working to enhance its capabilities and applications. At the forefront of this innovation are generative models pushing the boundaries of what machines can understand and create. With each passing day, the improvements in state-of-the-art models… Read More »Revolutionizing AI: Introducing the Claude 3 Model Family for Enhanced Cognitive Performance Adnan Hassan Artificial Intelligence Category – MarkTechPost

This AI Paper from CMU Introduce OmniACT: The First-of-a-Kind Dataset and Benchmark for Assessing an Agent’s Capability to Generate Executable Programs to Accomplish Computer Tasks Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” In an era of ubiquitous digital interfaces, the quest to refine the interaction between humans and computers has led to significant technological strides. A pivotal area of focus is automating the mundane and repetitive tasks that require unyielding human supervision, aiming for a future… Read More »This AI Paper from CMU Introduce OmniACT: The First-of-a-Kind Dataset and Benchmark for Assessing an Agent’s Capability to Generate Executable Programs to Accomplish Computer Tasks Sana Hassan Artificial Intelligence Category – MarkTechPost

Revolutionizing Image Quality Assessment: The Introduction of Co-Instruct and MICBench for Enhanced Visual Comparisons Sajjad Ansari Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Image Quality Assessment (IQA) is a method that standardizes the evaluation criteria for analyzing different aspects of images, including structural information, visual content, etc. To improve this method, various subjective studies have adopted comparative settings. In recent studies, researchers have explored large multimodal models… Read More »Revolutionizing Image Quality Assessment: The Introduction of Co-Instruct and MICBench for Enhanced Visual Comparisons Sajjad Ansari Artificial Intelligence Category – MarkTechPost

Qualcomm AI Research Proposes the GPTVQ Method: A Fast Machine Learning Method for Post-Training Quantization of Large Networks Using Vector Quantization (VQ) Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Efficiency of Large Language Models (LLMs) is a focal point for researchers in AI. A groundbreaking study by Qualcomm AI Research introduces a method known as GPTVQ, which leverages vector quantization (VQ) to enhance the size-accuracy trade-off in neural network quantization significantly. This approach… Read More »Qualcomm AI Research Proposes the GPTVQ Method: A Fast Machine Learning Method for Post-Training Quantization of Large Networks Using Vector Quantization (VQ) Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

This Machine Learning Paper from Microsoft Proposes ChunkAttention: A Novel Self-Attention Module to Efficiently Manage KV Cache and Accelerate the Self-Attention Kernel for LLMs Inference Adnan Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Developing large language models (LLMs) in artificial intelligence represents a significant leap forward. These models underpin many of today’s advanced natural language processing tasks and have become indispensable tools for understanding and generating human language. However, these models’ computational and memory demands, especially during… Read More »This Machine Learning Paper from Microsoft Proposes ChunkAttention: A Novel Self-Attention Module to Efficiently Manage KV Cache and Accelerate the Self-Attention Kernel for LLMs Inference Adnan Hassan Artificial Intelligence Category – MarkTechPost

Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together Swami Sivasubramanian AWS Machine Learning Blog

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​[[{“value”:” Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build… Read More »Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together Swami Sivasubramanian AWS Machine Learning Blog

UC Berkeley Researchers Introduce the Touch-Vision-Language (TVL) Dataset for Multimodal Alignment Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” 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, have been the focus of recent research in artificial multimodal representation learning. Nevertheless, the… Read More »UC Berkeley Researchers Introduce the Touch-Vision-Language (TVL) Dataset for Multimodal Alignment Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost