zetabyte

​[[{“value”:” LLMs have made significant strides in automated writing, particularly in tasks like open-domain long-form generation and topic-specific reports. Many approaches rely on Retrieval-Augmented Generation (RAG) to incorporate external information into the writing process. However, these methods often fall short due to fixed retrieval strategies,… Read More »OmniThink: A Cognitive Framework for Enhanced Long-Form Article Generation Through Iterative Reflection and Expansion Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Scaling the size of large language models (LLMs) and their training data have now opened up emergent capabilities that allow these models to perform highly structured reasoning, logical deductions, and abstract thought. These are not incremental improvements over previous tools but mark the journey… Read More »This AI Paper Explores Reinforced Learning and Process Reward Models: Advancing LLM Reasoning with Scalable Data and Test-Time Scaling Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Video diffusion models have emerged as powerful tools for video generation and physics simulation, showing promise in developing game engines. These generative game engines function as video generation models with action controllability, allowing them to respond to user inputs like keyboard and mouse interactions.… Read More »GameFactory: Leveraging Pre-trained Video Models for Creating New Game Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Understanding long videos, such as 24-hour CCTV footage or full-length films, is a major challenge in video processing. Large Language Models (LLMs) have shown great potential in handling multimodal data, including videos, but they struggle with the massive data and high processing demands of… Read More »Meet OmAgent: A New Python Library for Building Multimodal Language Agents Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Code retrieval has become essential for developers in modern software development, enabling efficient access to relevant code snippets and documentation. Unlike traditional text retrieval, which effectively handles natural language queries, code retrieval must address unique challenges, such as programming languages’ structural variations, dependencies, and… Read More »Salesforce AI Research Introduced CodeXEmbed (SFR-Embedding-Code): A Code Retrieval Model Family Achieving #1 Rank on CoIR Benchmark and Supporting 12 Programming Languages Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The development of VLMs in the biomedical domain faces challenges due to the lack of large-scale, annotated, and publicly accessible multimodal datasets across diverse fields. While datasets have been constructed from biomedical literature, such as PubMed, they often focus narrowly on domains like radiology… Read More »Stanford Researchers Introduce BIOMEDICA: A Scalable AI Framework for Advancing Biomedical Vision-Language Models with Large-Scale Multimodal Datasets Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Vision-language models (VLMs) represent an advanced field within artificial intelligence, integrating computer vision and natural language processing to handle multimodal data. These models allow systems to simultaneously understand and process images and text, enabling applications like medical imaging, automated systems, and digital content analysis.… Read More »Purdue University Researchers Introduce ETA: A Two-Phase AI Framework for Enhancing Safety in Vision-Language Models During Inference Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Humans possess an extraordinary ability to localize sound sources and interpret their environment using auditory cues, a phenomenon termed spatial hearing. This capability enables tasks such as identifying speakers in noisy settings or navigating complex environments. Emulating such auditory spatial perception is crucial for… Read More »Google AI Introduces ZeroBAS: A Neural Method to Synthesize Binaural Audio from Monaural Audio Recordings and Positional Information without Training on Any Binaural Data Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid advancement and widespread adoption of generative AI systems across various domains have increased the critical importance of AI red teaming for evaluating technology safety and security. While AI red teaming aims to evaluate end-to-end systems by simulating real-world attacks, current methodologies face… Read More »Microsoft Presents a Comprehensive Framework for Securing Generative AI Systems Using Lessons from Red Teaming 100 Generative AI Products Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have become essential tools in software development, offering capabilities such as generating code snippets, automating unit tests, and debugging. However, these models often fall short in producing code that is not only functionally correct but also efficient in runtime. Overlooking… Read More »Salesforce AI Research Proposes PerfCodeGen: A Training-Free Framework that Enhances the Performance of LLM-Generated Code with Execution Feedback Asif Razzaq Artificial Intelligence Category – MarkTechPost