​[[{“value”:” Transformers have greatly transformed natural language processing, delivering remarkable progress across various applications. Nonetheless, despite their widespread use and accomplishments, ongoing research continues to delve into the intricate workings of these models, with a particular focus on the linear nature of intermediate embedding transformations.… Read More »Unveiling the Hidden Linearity in Transformer Decoders: New Insights for Efficient Pruning and Enhanced Performance Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Foundation models enable complex tasks such as natural language processing, image recognition, etc. These models leverage large datasets and intricate neural networks to deliver previously unattainable results with traditional algorithms. The use of these models has revolutionized the field of AI, allowing for more… Read More »AmbientGPT: An Open-Source and Multimodal MacOS Foundation Model GUI Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Regarding robotic learning, the standard practice is to use datasets tailored to the particular robot and job at hand to train policies. Starting from scratch in this manner necessitates a substantial amount of data collection for every activity, and the policies that are produced… Read More »Octo: An Open-Sourced Large Transformer-based Generalist Robot Policy Trained on 800k Trajectories from the Open X-Embodiment Dataset Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Reinforcement learning (RL) is predicated on agents learning to make decisions by interacting with an environment. RL has achieved remarkable feats in various applications, including games, robotics, and autonomous systems. The goal is to develop algorithms that enable agents to perform tasks efficiently by… Read More »DIAMOND (DIffusion as a Model of Environment Dreams): A Reinforcement Learning Agent Trained in a Diffusion World Model Nikhil Artificial Intelligence Category – MarkTechPost

​ In the ever-evolving landscape of technology, the term “Artificial Intelligence” (AI) has become ubiquitous, often sparking discussions and debates about its true nature and potential. Regardless of the label — whether it’s AI, Artificial Intelligence, Deep Learning, Machine Learning (ML), or automation — these technologies are essentially a… Read More »Unlocking the Power of AI: Transforming Data into Actionable Insights Marcin Rojek Becoming Human: Artificial Intelligence Magazine – Medium

​[[{“value”:” The proliferation of machine learning (ML) models in high-stakes societal applications has sparked concerns regarding fairness and transparency. Instances of biased decision-making have led to a growing distrust among consumers who are subject to ML-based decisions.  To address this challenge and increase consumer trust,… Read More »FairProof: An AI System that Uses Zero-Knowledge Proofs to Publicly Verify the Fairness of a Model while Maintaining Confidentiality Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ Enter the no-code revolution — a gateway to technology for everyone, regardless of their technical expertise. Among the most impactful innovations in this space are chatbot creators designed to simplify the process of creating advanced, interactive chatbots. These platforms offer an effortless path to integrating AI… Read More »7 Powerful No-Code Chatbot Creators BotPenguin Chatbots Life – Medium

​[[{“value”:” AI models have become integral to enhancing computing efficiency, productivity, and user experiences. Developing small language models (SLMs) is a key focus, enabling more efficient processing on personal computing devices. The problem addressed by researchers is the high computational demand for AI models, which… Read More »Microsoft Introduces Phi Silica: A 3.3 Billion Parameter AI Model Transforming Efficiency and Performance in Personal Computing Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“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