​[[{“value”:” Home Table of Contents Exploring GAN Code Generation with Gemini Pro and ChatGPT-3.5: A Comparative Study Introduction to GAN Development with Gemini Pro Expectations from the Generated Code Understanding Generative Adversarial Networks Configuring Gemini Pro for PyTorch GAN Code Creation and Image Synthesis Generating… Read More »Exploring GAN Code Generation with Gemini Pro and ChatGPT-3.5: A Comparative Study Aditya Sharma PyImageSearch

​[[{“value”:” The rapid advancement of large language models has ushered in a new era of natural language processing capabilities. However, a significant challenge persists: most of these models are primarily trained on a limited set of widely spoken languages, leaving a vast linguistic diversity unexplored.… Read More »This AI Paper from SambaNova Presents a Machine Learning Method to Adapt Pretrained LLMs to New Languages Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Rapidly converting conceptual ideas into tangible, interactive prototypes is a common challenge faced by developers, project managers, and business owners alike. The process often requires extensive programming knowledge and can be time-consuming, making it difficult for non-technical stakeholders to participate actively in the initial… Read More »Jemma: A New AI Project that Convert Your Thoughts to Code Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Chain-of-thought (CoT) prompting involves instructing language models (LMs) to reason step by step, resulting in improved performance across various arithmetic, commonsense, and symbolic reasoning domains. However, conventional CoT has limitations. While it shows performance gains in large LMs of 100+ billion parameters, it often… Read More »LM-Guided CoT: A Novel Machine Learning Framework that Leverages a Lightweight (10B) LM in Reasoning Tasks Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In AI, a particular interest has arisen around the capabilities of large language models (LLMs). Traditionally utilized for tasks involving natural language processing, these models are now being explored for their potential in computational tasks such as regression analysis. This shift reflects a broader… Read More »A Comparative Study of In-Context Learning Capabilities: Exploring the Versatility of Large Language Models in Regression Tasks Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Scientific research, crucial for advancing human well-being, faces challenges due to its complexity and slow pace, requiring specialized expertise. Integrating AI, particularly LLMs, could revolutionize this process. LLMs are good at processing large amounts of data and identifying patterns, potentially accelerating research by suggesting… Read More »ResearchAgent: Transforming the Landscape of Scientific Research Through AI-Powered Idea Generation and Iterative Refinement Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Memory is significant for intelligence as it helps to recall past experiences and apply them to current situations. However, because of the way their attention mechanism works, both conventional Transformer models and Transformer-based Large Language Models (LLMs) have limitations when it comes to context-dependent… Read More »Google AI Introduces an Efficient Machine Learning Method to Scale Transformer-based Large Language Models (LLMs) to Infinitely Long Inputs Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the dynamic world of data visualization and business intelligence, Tableau and Power BI stand out as leading tools. Both platforms harness the power of AI to provide deep insights and make data-driven decisions more accessible. Let’s explore the key features, advantages, and disadvantages,… Read More »Tableau vs Power BI: A Comparison of AI-Powered Analytics Tools Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Significant progress has been made in LLMs, or large-scale language models, which have absorbed a fundamental linguistic understanding of the environment. However, LLMs, despite their proficiency in historical knowledge and insightful responses, are severely deficient in real-time comprehension. Imagine a pair of trendy smart… Read More »Meta AI Releases OpenEQA: The Open-Vocabulary Embodied Question Answering Benchmark Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Digital agents, software entities designed to facilitate and automate interactions between humans and digital platforms, are gaining prominence as tools for reducing the effort required in routine digital tasks. Such agents can autonomously navigate web interfaces or manage device controls, potentially transforming how users… Read More »Autonomous Domain-General Evaluation Models Enhance Digital Agent Performance: A Breakthrough in Adaptive AI Technologies Adnan Hassan Artificial Intelligence Category – MarkTechPost