​[[{“value”:” The field of Artificial Intelligence (AI) is advancing at a rapid rate; specifically, the Large Language Models have become indispensable in modern AI applications. These LLMs have inbuilt safety mechanisms that prevent them from generating unethical and harmful outputs. However, these mechanisms are vulnerable… Read More »Adaptive Attacks on LLMs: Lessons from the Frontlines of AI Robustness Testing Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Retrieval Augmented Generation is an efficient solution for knowledge-intensive tasks that improves the quality of outputs and makes it more deterministic with minimal hallucinations. However, RAG outputs can still be noisy and may fail to respond appropriately to complex queries. To address this limitation,… Read More »Auto-RAG: An Autonomous Iterative Retrieval Model Centered on the LLM’s Powerful Decision-Making Capabilities Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The field of robotic manipulation has witnessed a remarkable transformation with the emergence of vision-language-action (VLA) models. These advanced computational frameworks have demonstrated significant potential in executing complex manipulation tasks across diverse environments. Despite their impressive capabilities, VLA models encounter substantial challenges in generalizing… Read More »Meet GRAPE: A Plug-and-Play Algorithm to Generalize Robot Policies via Preference Alignment Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Integrating vision and language processing in AI has become a cornerstone for developing systems capable of simultaneously understanding visual and textual data, i.e., multimodal data. This interdisciplinary field focuses on enabling machines to interpret images, extract relevant textual information, and discern spatial and contextual… Read More »Microsoft Introduces Florence-VL: A Multimodal Model Redefining Vision-Language Alignment with Generative Vision Encoding and Depth-Breadth Fusion Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) excel in generating contextually relevant text; however, ensuring compliance with data privacy regulations, such as GDPR, requires a robust ability to unlearn specific information effectively. This capability is critical for addressing privacy concerns where data must be entirely removed from… Read More »This AI Paper from UCSD and CMU Introduces EDU-RELAT: A Benchmark for Evaluating Deep Unlearning in Large Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Vision-and-language models (VLMs) are important tools that use text to handle different computer vision tasks. Tasks like recognizing images, reading text from images (OCR), and detecting objects can be approached as answering visual questions with text responses. While VLMs have shown limited success on… Read More »UC Berkeley Researchers Explore the Role of Task Vectors in Vision-Language Models Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs have revolutionized artificial intelligence with their remarkable scalability and adaptability. Models like GPT-4 and Claude, built with trillions of parameters, demonstrate exceptional performance across diverse tasks. However, their monolithic design comes with significant challenges, including high computational costs, limited flexibility, and difficulties in… Read More »Composition of Experts: A Modular and Scalable Framework for Efficient Large Language Model Utilization Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Snowflake recently announced the launch of Arctic Embed L 2.0 and Arctic Embed M 2.0, two small and powerful embedding models tailored for multilingual search and retrieval. The Arctic Embed 2.0 models are available in two distinct variants: medium and large. Based on Alibaba’s… Read More »Snowflake Releases Arctic Embed L 2.0 and Arctic Embed M 2.0: A Set of Extremely Strong Yet Small Embedding Models for English and Multilingual Retrieval Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language Agents (LAs) have recently become the focal point of research and development because of the significant advancement in large language models (LLMs). LLMs have demonstrated significant advancements in understanding and producing human-like text. LLMs perform various tasks with great performance and accuracy. Through… Read More »Exploring Adaptivity in AI: A Deep Dive into ALAMA’s Mechanisms Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost