​[[{“value”:” This post is co-written with Jhanvi Shriram and Ketaki Shriram from Krikey. Krikey AI is revolutionizing the world of 3D animation with their innovative platform that allows anyone to generate high-quality 3D animations using just text or video inputs, without needing any prior animation… Read More »How Krikey AI harnessed the power of Amazon SageMaker Ground Truth to accelerate generative AI development Jhanvi Shriram AWS Machine Learning Blog

​[[{“value”:” Integrating artificial intelligence (AI) is revolutionizing how professionals interact with and utilize AI-generated content in digital workspaces. As businesses and creators seek more dynamic and intuitive interfaces, the demand for AI to enhance productivity and foster real-time collaboration grows. One significant challenge in this… Read More »Artifacts: Unveiling the Power of Claude 3.5 Sonnet – A Guide to Streamlined AI Integration in Workspaces Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In artificial intelligence, achieving superior performance at a lower cost remains a key objective. OpenPipe has made significant strides in this direction with its innovative Mixture of Agents (MoA) model. Designed to generate synthetic training data, the MoA architecture demonstrates state-of-the-art (SOTA) results and… Read More »OpenPipe Introduces a New Family of ‘Mixture of Agents’ MoA Models Optimized for Generating Synthetic Training Data: Outperform GPT-4 at 1/25th the Cost Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Home Table of Contents Integrating Local LLM Frameworks: A Deep Dive into LM Studio and AnythingLLM Introduction to Local Large Language Models (LLMs) Exploring LM Studio and AnythingLLM: Interact with Your Documents Like Never Before Next Steps in Local LLM Integration Getting Started with… Read More »Integrating Local LLM Frameworks: A Deep Dive into LM Studio and AnythingLLM Aditya Sharma PyImageSearch

​[[{“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