​[[{“value”:” In the contemporary landscape of scientific research, the transformative potential of AI has become increasingly evident. This is particularly true when applying scalable AI systems to high-performance computing (HPC) platforms. This exploration of scalable AI for science underscores the necessity of integrating large-scale computational… Read More »Role of LLMs like ChatGPT in Scientific Research: The Integration of Scalable AI and High-Performance Computing to Address Complex Challenges and Accelerate Discovery Across Diverse Fields Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Reinforcement learning from human feedback (RLHF) encourages generations to have high rewards, using a reward model trained on human preferences to align large language models (LLMs). However, RLHF has several unresolved issues. First, the fine-tuning process is often limited to small datasets, causing the… Read More »Google DeepMind Introduces WARP: A Novel Reinforcement Learning from Human Feedback RLHF Method to Align LLMs and Optimize the KL-Reward Pareto Front of Solutions Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Accelerating Drug Discovery with AI: The Role of AlphaFold in Targeting Liver Cancer: AI is significantly transforming the field of drug discovery, offering new ways to design and synthesize medicines more efficiently. A notable example is AlphaFold, an AI program developed by DeepMind, which… Read More »Leveraging AlphaFold and AI for Rapid Discovery of Targeted Treatments for Liver Cancer Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Prompt engineering is crucial to leveraging ChatGPT’s capabilities, enabling users to elicit relevant, accurate, high-quality responses from the model. As language models like ChatGPT become more sophisticated, mastering the art of crafting effective prompts has become essential. This comprehensive overview delves into prompt engineering… Read More »A Comprehensive Overview of Prompt Engineering for ChatGPT Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Humans are versatile; they can quickly apply what they’ve learned from little examples to larger contexts by combining new and old information. Not only can they foresee possible setbacks and determine what is important for success, but they swiftly learn to adjust to different… Read More »CMU Researchers Propose In-Context Abstraction Learning (ICAL): An AI Method that Builds a Memory of Multimodal Experience Insights from Sub-Optimal Demonstrations and Human Feedback Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The field of research focuses on enhancing large multimodal models (LMMs) to process and understand extremely long video sequences. Video sequences offer valuable temporal information, but current LMMs need help to understand exceptionally long videos. This issue stems from the sheer volume of visual… Read More »LongVA and the Impact of Long Context Transfer in Visual Processing: Enhancing Large Multimodal Models for Long Video Sequences Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the rapidly advancing field of Artificial Intelligence (AI), it is crucial to assess the outputs of models accurately. State-of-the-art AI systems, such as those built on the GPT-4 architecture, are trained via Reinforcement Learning with Human Feedback (RLHF). Because it is typically quicker… Read More »OpenAI Introduces CriticGPT: A New Artificial Intelligence AI Model based on GPT-4 to Catch Errors in ChatGPT’s Code Output Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Multimodal large language models (MLLMs) are advancing the integration of NLP and computer vision, essential for analyzing visual and textual data. These models are particularly valuable for interpreting complex charts in scientific papers, financial reports, and other documents. The primary challenge is enhancing these… Read More »CharXiv: A Comprehensive Evaluation Suite Advancing Multimodal Large Language Models Through Realistic Chart Understanding Benchmarks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Software engineering has witnessed remarkable advancements with the development of Large Language Models (LLMs). These models, trained on extensive datasets, have demonstrated proficiency in various tasks, including code generation, translation, and optimization. LLMs are increasingly utilized for compiler optimization, a critical process that transforms… Read More »Meta AI Introduces Meta LLM Compiler: A State-of-the-Art LLM that Builds upon Code Llama with Improved Performance for Code Optimization and Compiler Reasoning Asif Razzaq Artificial Intelligence Category – MarkTechPost