​[[{“value”:” Computer vision, one of the major areas of artificial intelligence, focuses on enabling machines to interpret and understand visual data. This field encompasses image recognition, object detection, and scene understanding. Researchers continuously strive to improve the accuracy and efficiency of neural networks to tackle… Read More »Convolutional Kolmogorov-Arnold Networks (Convolutional KANs): An Innovative Alternative to the Standard Convolutional Neural Networks (CNNs) Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have transformed natural language processing (NLP) by demonstrating the effectiveness of increasing the number of parameters and training data for various reasoning tasks. One successful method, chain-of-thought (CoT) prompting, helps language models solve complex problems by breaking them into intermediate… Read More »Whiteboard-of-Thought (WoT) Prompting: A Simple AI Approach to Enhance the Visual Reasoning Abilities of MLLMs Across Modalities Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language Models (LMs) have significantly advanced complex NLP tasks through sophisticated prompting techniques and multi-stage pipelines. However, designing these LM Programs relies heavily on manual “prompt engineering,” a time-consuming process of crafting lengthy prompts through trial and error. This approach faces challenges, particularly in… Read More »MIPRO: A Novel Optimizer that Outperforms Baselines on Five of Six Diverse Language Model LM Programs Using a Best-in-Class Open-Source Model (Llama-3-8B) by 12.9% accuracy Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) are the so far greatest advancement in the field of Artificial Intelligence (AI). However, since these models are trained on extensive and varied corpora, they can unintentionally contain harmful information. This can sometimes also include instructions on how to make… Read More »Inductive Out-of-Context Reasoning (OOCR) in Large Language Models (LLMs): Its Capabilities, Challenges, and Implications for Artificial Intelligence (AI) Safety Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI holds significant potential to revolutionize healthcare by predicting disease progression using vast health records, thus enabling personalized care. Understanding multi-morbidity—clusters of chronic and acute conditions influenced by lifestyle, genetics, and socioeconomic factors—is crucial for tailored healthcare and preventive measures. Despite existing prediction algorithms… Read More »Delphi-2M: A Modified GPT Architecture for Modeling Future Health Based on Past Medical History Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The concept of Instruction Pre-Training (InstructPT) is a collaborative effort between Microsoft Research and Tsinghua University. This method leverages supervised multitask learning to pre-train language models. Traditional pre-training methods, called Vanilla Pre-Training, rely on unsupervised learning from raw corpora. However, Instruction Pre-Training augments this… Read More »Microsoft AI Release Instruct Pre-Training: Enhancing Language Model Pre-Training with Supervised Multitask Learning Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Sound is indispensable for enriching human experiences, enhancing communication, and adding emotional depth to media. While AI has made significant progress in various domains, incorporating sound in video-generating models with the same sophistication and nuance as human-created content remains challenging. Producing scores for these… Read More »Google DeepMind Introduces Video-to-Audio V2A Technology: Synchronizing Audiovisual Generation Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Introduction Choosing the right machine learning model for your data is of major importance in any data science project. The model you select will have a significant impact on the insights you derive from your data, and ultimately determine the usefulness of a project.… Read More »Tips for Choosing the Right Machine Learning Model for Your Data Matthew Mayo MachineLearningMastery.com

​[[{“value”:” Many people write in their jobs. Not everyone is a novel writer; some write technical documentation, business plans, news articles, and even blog posts. In those writings, illustrations are not essential but often good to have. They are decorations, interpretations, or visual explanations of… Read More »Stable Diffusion Project: Creating Illustration Kanwal Mehreen MachineLearningMastery.com

​[[{“value”:” In recent research, the Institute for Natural Language Processing (IMS) at the University of Stuttgart, Germany, has introduced ToucanTTS, significantly advancing the field of text-to-speech (TTS) technology. With support for speech synthesis in more than 7,000 languages, this new toolset is capable of completely… Read More »Toucan TTS: An MIT Licensed Text-to-Speech Advanced Toolbox with Speech Synthesis in More Than 7000 Languages Tanya Malhotra Artificial Intelligence Category – MarkTechPost