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EMOVA: A Novel Omni-Modal LLM for Seamless Integration of Vision, Language, and Speech Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Omni-modal large language models (LLMs) are at the forefront of artificial intelligence research, seeking to unify multiple data modalities such as vision, language, and speech. The primary goal is to enhance the interactive capabilities of these models, allowing them to perceive, understand, and generate… Read More »EMOVA: A Novel Omni-Modal LLM for Seamless Integration of Vision, Language, and Speech Nikhil Artificial Intelligence Category – MarkTechPost

Zyphra Releases Zamba2-1.2B-Instruct and Zamba2-2.7B-Instruct: A New State-of-the-Art Small Language Model Series that Outperforms Gemma2-2B-Instruct Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” The AI research organization Zyphra has recently unveiled two groundbreaking language models, Zamba2-1.2B-Instruct and Zamba2-2.7B-Instruct. These models are part of the Zamba2 series and are significant advancements in natural language processing and AI-based instruction. Zamba2-1.2B-Instruct and Zamba2-2.7B-Instruct are designed to deliver enhanced multi-turn chat… Read More »Zyphra Releases Zamba2-1.2B-Instruct and Zamba2-2.7B-Instruct: A New State-of-the-Art Small Language Model Series that Outperforms Gemma2-2B-Instruct Asif Razzaq Artificial Intelligence Category – MarkTechPost

GemFilter: A Novel AI Approach to Accelerate LLM Inference and Reduce Memory Consumption for Long Context Inputs Mohammad Asjad Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large Language Models (LLMs) have become integral to numerous AI systems, showcasing remarkable capabilities in various applications. However, as the demand for processing long-context inputs grows, researchers face significant challenges in optimizing LLM performance. The ability to handle extensive input sequences is crucial for… Read More »GemFilter: A Novel AI Approach to Accelerate LLM Inference and Reduce Memory Consumption for Long Context Inputs Mohammad Asjad Artificial Intelligence Category – MarkTechPost

a2z Radiology AI Introduces a2z-1: An AI that Analyzes Abdominal-Pelvis CT Scans and Reports to Catch Potential Misses Across 21 Conditions Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” In a significant stride for radiology, a2z Radiology AI emerged from stealth mode today, unveiling its vision to create an AI-powered safety net for radiologists. The company’s first product, a2z-1, enhances quality assurance (QA) in interpreting abdominal-pelvis CT scans, ensuring no disease is missed.… Read More »a2z Radiology AI Introduces a2z-1: An AI that Analyzes Abdominal-Pelvis CT Scans and Reports to Catch Potential Misses Across 21 Conditions Sana Hassan Artificial Intelligence Category – MarkTechPost

LASER: An Adaptive Method for Selecting Reward Models RMs and Iteratively Training LLMs Using Multiple Reward Models RMs Aswin Ak Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” One of the major challenges in aligning large language models (LLMs) with human preferences is the difficulty in selecting the right reward model (RM) to guide their training. A single RM may excel at tasks like creative writing but fail in more logic-oriented areas… Read More »LASER: An Adaptive Method for Selecting Reward Models RMs and Iteratively Training LLMs Using Multiple Reward Models RMs Aswin Ak Artificial Intelligence Category – MarkTechPost

FaithEval: A New and Comprehensive AI Benchmark Dedicated to Evaluating Contextual Faithfulness in LLMs Across Three Diverse Tasks- Unanswerable, Inconsistent, and Counterfactual Contexts Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Natural language processing (NLP) has seen rapid advancements, with large language models (LLMs) leading the charge in transforming how text is generated and interpreted. These models have showcased an impressive ability to create fluent and coherent responses across various applications, from chatbots to summarization… Read More »FaithEval: A New and Comprehensive AI Benchmark Dedicated to Evaluating Contextual Faithfulness in LLMs Across Three Diverse Tasks- Unanswerable, Inconsistent, and Counterfactual Contexts Asif Razzaq Artificial Intelligence Category – MarkTechPost

Create your fashion assistant application using Amazon Titan models and Amazon Bedrock Agents Akarsha Sehwag AWS Machine Learning Blog

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​[[{“value”:” In the generative AI era, agents that simulate human actions and behaviors are emerging as a powerful tool for enterprises to create production-ready applications. Agents can interact with users, perform tasks, and exhibit decision-making abilities, mimicking humanlike intelligence. By combining agents with foundation models… Read More »Create your fashion assistant application using Amazon Titan models and Amazon Bedrock Agents Akarsha Sehwag AWS Machine Learning Blog

Apple AI Research Introduces MM1.5: A New Family of Highly Performant Generalist Multimodal Large Language Models (MLLMs) Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Multimodal large language models (MLLMs) represent a cutting-edge area in artificial intelligence, combining diverse data modalities like text, images, and even video to build a unified understanding across domains. These models are being developed to tackle increasingly complex tasks such as visual question answering,… Read More »Apple AI Research Introduces MM1.5: A New Family of Highly Performant Generalist Multimodal Large Language Models (MLLMs) Asif Razzaq Artificial Intelligence Category – MarkTechPost