​[[{“value”:” LLMs like GPT-4 excel in language comprehension but struggle with high GPU memory usage during inference, limiting their scalability for real-time applications like chatbots. Existing methods reduce memory by compressing the KV cache but overlook inter-layer dependencies and pre-computation memory demands. Inference memory usage… Read More »PyramidInfer: Allowing Efficient KV Cache Compression for Scalable LLM Inference Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language models (LMs) are a cornerstone of artificial intelligence research, focusing on the ability to understand and generate human language. Researchers aim to enhance these models to perform various complex tasks, including natural language processing, translation, and creative writing. This field examines how LMs… Read More »This Machine Learning Paper from Stanford and the University of Toronto Proposes Observational Scaling Laws: Highlighting the Surprising Predictability of Complex Scaling Phenomena Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent technological advancements in genomics and imaging have resulted in a vast increase in molecular and cellular profiling data, presenting challenges for traditional analysis methods. Modern machine learning, particularly deep learning, offers solutions by handling large datasets to uncover hidden structures and make accurate… Read More »Transformative Applications of Deep Learning in Regulatory Genomics and Biological Imaging Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The worldwide wearables industry is predicted to grow at a CAGR of 18% by 2026. With the addition of fitness tracking, health monitoring, virtual assistants, and other capabilities, wearable technology has advanced significantly in the last several years. There is still much room for… Read More »AI Wearables: Transforming Day-To-Day Life Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Pipecat is a framework designed to simplify the creation of voice and multimodal conversational agents. It can be used to build applications such as personal coaches, meeting assistants, story-telling toys for kids, customer support bots, and social companions. Pipecat allows developers to start small… Read More »Pipecat: An Open Source Framework for Voice and Multimodal Conversational AI Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Natural language processing (NLP) is a field dedicated to enabling computers to understand, interpret, and generate human language. This encompasses tasks like language translation, sentiment analysis, and text generation. The aim is to create systems that seamlessly interact with humans through language. Achieving this… Read More »Cohere AI Releases Aya23 Models: Transformative Multilingual NLP with 8B and 35B Parameter Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial Intelligence (AI) has revolutionized multiple facets of modern life, driving significant advancements in technology, healthcare, finance, and beyond. Reinforcement Learning (RL) and Generative Adversarial Networks (GANs) are particularly transformative among the myriad AI paradigms. Let’s delve into these two key areas, exploring their… Read More »Exploring the Frontiers of Artificial Intelligence: A Comprehensive Analysis of Reinforcement Learning, Generative Adversarial Networks, and Ethical Implications in Modern AI Systems Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A team of psychologists and researchers from the University Medical Center Hamburg-Eppendorf, Italian Institute of Technology, Genoa, University of Trento, and others have researched the evolving mind capabilities of large language models (LLMs) like GPT-4, GPT-3.5, and LLaMA2-70B and performed comparisons between LLMs and… Read More »Theory of Mind: How GPT-4 and LLaMA-2 Stack Up Against Human Intelligence Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The efficient deployment of large language models (LLMs) necessitates high throughput and low latency. However, LLMs’ substantial memory consumption, particularly by the key-value (KV) cache, hinders achieving large batch sizes and high throughput. The KV cache, storing keys and values during generation, consumes over… Read More »An Efficient AI Approach to Memory Reduction and Throughput Enhancement in LLMs Mohammad Asjad Artificial Intelligence Category – MarkTechPost