​[[{“value”:” Decompilation plays a crucial role in software reverse engineering, enabling the analysis and understanding of binary executables when their source code is inaccessible. This is particularly valuable for software security analysis, bug detection, and the recovery of legacy code. However, traditional decompilation techniques often… Read More »LLM4Decompile: Open-source Large Language Models for Decompilation with Emphasis on Code Executability and Recompilability Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the dynamic landscape of Artificial Intelligence, a longstanding debate questions the need for copyrighted materials in training top AI models. OpenAI’s bold assertion to the UK Parliament in 2023 that training such models without utilizing copyrighted content was ‘impossible’ sent shockwaves through the… Read More »Common Corpus: A Large Public Domain Dataset for Training LLMs Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Although AI is a rapidly growing industry, there are often many obstacles on the path from groundbreaking research to practical applications. Raising the quality of AI models to that of production is a big challenge. Although researchers can create robust models, making them suitable… Read More »Reprompt AI: An AI Startup that is Speeding Up the Road to Production-Ready Artificial Intelligence Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Researchers and developers need to run large language models (LLMs) such as GPT (Generative Pre-trained Transformer) efficiently and quickly. This efficiency heavily depends on the hardware used for training and inference tasks. Central Processing Units (CPUs) and Graphics Processing Units (GPUs) are the main… Read More »CPU vs GPU for Running LLMs Locally Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Football has always been a game of tactical brilliance and strategic genius. From the dugouts of your local parks to the hallowed turf of the biggest stadiums, coaches are constantly tinkering with formations, set-piece routines, and game plans – all in pursuit of that… Read More »Google DeepMind Researchers Introduce TacticAI: A New Deep Learning System that is Reinventing Football Strategy Vibhanshu Patidar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The relentless pursuit of refining artificial intelligence has led to the creation of sophisticated Large Language Models (LLMs) such as GPT-3 and GPT-4, significantly expanding the boundaries of machine understanding and interaction with human language. These models, developed by leading research institutions and tech… Read More »RankPrompt: Revolutionizing AI Reasoning with Autonomous Evaluation with Improvement in Large Language Model Accuracy and Efficiency Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” HyperGAI researchers have developed Hyper Pretrained Transformers (HPT) a multimodal language model that can handle different types of inputs such, as text, images, videos, and more. Traditional LLMs have achieved satisfactory results with text data but have a limited understanding of multimodal data, interfering… Read More »HyperGAI Introduces HPT: A Groundbreaking Family of Leading Multimodal LLMs Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In a collaborative effort that underscores the importance of interdisciplinary research, Tsinghua University and Microsoft Corporation researchers have unveiled LLMLingua-2. This groundbreaking study delves into language model efficiency, aiming to streamline communication between humans and machines and reduce the verbosity of natural language without… Read More »Data Distillation Meets Prompt Compression: How Tsinghua University and Microsoft’s LLMLingua-2 Is Redefining Efficiency in Large Language Models Using Task-Agnostic Techniques Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Aligning large language models (LLMs) involves tuning them to desired behaviors, termed ‘civilizing’ or ‘humanizing.’ While model providers aim to mitigate common harms like hate speech and toxicity, comprehensive alignment is challenging due to diverse contextual requirements. Specific industries and applications demand unique behaviors,… Read More »IBM’s Alignment Studio to Optimize AI Compliance for Contextual Regulations Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Data scientists and engineers frequently collaborate on machine learning ML tasks, making incremental improvements, iteratively refining ML pipelines, and checking the model’s generalizability and robustness. There are major worries about data traceability and reproducibility because, unlike code, data modifications do not always provide enough… Read More »Amazon AI Introduces DataLore: A Machine Learning Framework that Explains Data Changes between an Initial Dataset and Its Augmented Version to Improve Traceability Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost