​ Computational linguistics focuses on developing advanced language models capable of understanding and generating human language. This dynamic field integrates the latest in machine learning and artificial intelligence, striving to create models that grasp the intricacies of language. A crucial aspect of this discipline is… Read More »Researchers from the University of Washington and Allen Institute for AI Introduce Time Vectors: A Simple Tool to Customize Language Models to New Time Periods Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​ The development of Multi-modal Large Language Models (MLLMs) represents a groundbreaking shift in the fast-paced field of artificial intelligence. These advanced models, which integrate the robust capabilities of Large Language Models (LLMs) with enhanced sensory inputs such as visual data, are redefining the boundaries… Read More »Can Google’s Gemini Rival OpenAI’s GPT-4V in Visual Understanding?: This Paper Explores the Battle of Titans in Multi-modal AI Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​ Multimodal Large Language Models (MLLMs) are pivotal in integrating visual and linguistic elements. These models, fundamental to developing sophisticated AI optical assistants, excel in interpreting and synthesizing information from text and imagery. Their evolution marks a significant stride in AI’s capabilities, bridging the gap… Read More »This Paper Proposes Osprey: A Mask-Text Instruction Tuning Approach to Extend MLLMs (Multimodal Large Language Models) by Incorporating Fine-Grained Mask Regions into Language Instruction Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Amidst the dynamic evolution of advanced large language models (LLMs), developers seek streamlined methods to string prompts together effectively, giving rise to sophisticated AI assistants, search engines, and more. Amidst this quest, the emergence of MiniChain, a compact Python library, heralds a groundbreaking approach… Read More »Meet MiniChain: A Tiny Python Library for Coding with Large Language Models Niharika Singh Artificial Intelligence Category – MarkTechPost

​ The science of predicting chaotic systems lies at the intriguing intersection of physics and computer science. This field delves into understanding and forecasting the unpredictable nature of systems where small initial changes can lead to significantly divergent outcomes. It’s a realm where the butterfly… Read More »Can Machine Learning Predict Chaos? This Paper from UT Austin Performs a Large-Scale Comparison of Modern Forecasting Methods on a Giant Dataset of 135 Chaotic Systems Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​ Transformer models are crucial in machine learning for language and vision processing tasks. Transformers, renowned for their effectiveness in sequential data handling, play a pivotal role in natural language processing and computer vision. They are designed to process input data in parallel, making them… Read More »This AI Paper Unveils the Cached Transformer: A Transformer Model with GRC (Gated Recurrent Cached) Attention for Enhanced Language and Vision Tasks Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Diffusion models have become the prevailing approach for generating videos. Yet, their dependence on large-scale web data, which varies in quality, frequently leads to outcomes lacking visual appeal and not aligning well with the provided textual prompts. Despite advancements in recent times, there is… Read More »This AI Paper Introduces InstructVideo: A Novel AI Approach to Enhance Text-to-Video Diffusion Models Using Human Feedback and Efficient Fine-Tuning Techniques Sana Hassan Artificial Intelligence Category – MarkTechPost

​ Home Table of Contents T’is the Time … for GenAI! Google and Generative AI What’s the Buzz? What Is Generative AI? Getting Started with Vertex AI-Generative AI Studio’s User Interface Vertex AI-Generative AI Studio on Google Cloud Language Get Started Create Prompt FREE-FORM Mode… Read More »T’is the Time … for GenAI! Aritra Roy Gosthipaty and Ritwik Raha PyImageSearch

​ Large Language Models (LLMs) have improved the field of autonomous driving in terms of interpretability, reasoning capacity, and overall efficiency of Autonomous Vehicles (AVs). Cognitive autonomous driving systems have been built on top of LLMs that can communicate in natural language with either navigation… Read More »Meet LMDrive: A Unique AI Framework For Language-Guided, End-To-End, Closed-Loop Autonomous Driving Tanya Malhotra Artificial Intelligence Category – MarkTechPost