​[[{“value”:” Large language models (LLMs) have become central to natural language processing (NLP), excelling in tasks such as text generation, comprehension, and reasoning. However, their ability to handle longer input sequences is limited by significant computational challenges, particularly memory overhead during inference caused by key-value… Read More »Meet Tensor Product Attention (TPA): Revolutionizing Memory Efficiency in Language Models Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs are essential in industries such as education, healthcare, and customer service, where natural language understanding plays a crucial role. Though highly versatile, LLMs’ challenge is adapting to new tasks. Most fine-tuning methods are resource and time-consuming. Moreover, the fine-tuning approach often results in… Read More »Sakana AI Introduces Transformer²: A Machine Learning System that Dynamically Adjusts Its Weights for Various Tasks Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With AI Agents being the Talk of the Town, CopilotKit is an open-source framework designed to give you a holistic exposure to that experience. It facilitates the integration of AI copilots into applications, enabling developers to create interactive AI-driven functionalities easily. It provides a… Read More »CoAgents: A Frontend Framework Reshaping Human-in-the-Loop AI Agents for Building Next-Generation Interactive Applications with Agent UI and LangGraph Integration Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs have significantly advanced natural language processing, excelling in tasks like open-domain question answering, summarization, and conversational AI. However, their growing size and computational demands highlight inefficiencies in managing extensive contexts, particularly in functions requiring complex reasoning and retrieving specific information. To address this,… Read More »Enhancing Retrieval-Augmented Generation: Efficient Quote Extraction for Scalable and Accurate NLP Systems Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is co-written with Sujith R Pillai from Kyndryl. In this post, we show you how Kyndryl, an AWS Premier Tier Services Partner and IT infrastructure services provider that designs, builds, manages, and modernizes complex, mission-critical information systems, integrated Amazon Q Business with… Read More »How Kyndryl integrated ServiceNow and Amazon Q Business Asif Fouzi AWS Machine Learning Blog

​[[{“value”:” Large Language Models (LLMs) based on Transformer architectures have revolutionized sequence modeling through their remarkable in-context learning capabilities and ability to scale effectively. These models depend on attention modules that function as associative memory blocks, storing and retrieving key-value associations. However, this mechanism has… Read More »Google AI Research Introduces Titans: A New Machine Learning Architecture with Attention and a Meta in-Context Memory that Learns How to Memorize at Test Time Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​Building a custom model pipeline in  Building a custom model pipeline in  Read More  

​[[{“value”:” The study of artificial intelligence has witnessed transformative developments in reasoning and understanding complex tasks. The most innovative developments are large language models (LLMs) and multimodal large language models (MLLMs). These systems can process textual and visual data, allowing them to analyze intricate tasks.… Read More »Microsoft AI Research Introduces MVoT: A Multimodal Framework for Integrating Visual and Verbal Reasoning in Complex Tasks Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Video understanding has long presented unique challenges for AI researchers. Unlike static images, videos involve intricate temporal dynamics and spatial-temporal reasoning, making it difficult for models to generate meaningful descriptions or answer context-specific questions. Issues like hallucination, where models fabricate details, further compromise the… Read More »ByteDance Researchers Introduce Tarsier2: A Large Vision-Language Model (LVLM) with 7B Parameters, Designed to Address the Core Challenges of Video Understanding Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The growing reliance on AI models for edge and mobile devices has underscored significant challenges. Balancing computational efficiency, model size, and multilingual capabilities remains a persistent hurdle. Traditional large language models (LLMs), while powerful, often require extensive resources, making them less suitable for edge… Read More »Kyutai Labs Releases Helium-1 Preview: A Lightweight Language Model with 2B Parameters, Targeting Edge and Mobile Devices Asif Razzaq Artificial Intelligence Category – MarkTechPost