​[[{“value”:” Artificial intelligence is continually evolving, focusing on optimizing algorithms to improve the performance and efficiency of large language models (LLMs). Reinforcement learning from human feedback (RLHF) is a significant area within this field, aiming to align AI models with human values and intentions to… Read More »Beyond the Reference Model: SimPO Unlocks Efficient and Scalable RLHF for Large Language Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Hugging Face has introduced FineWeb, a comprehensive dataset designed to enhance the training of large language models (LLMs). Published on May 31, 2024, this dataset sets a new benchmark for pretraining LLMs, promising improved performance through meticulous data curation and innovative filtering techniques. FineWeb… Read More »HuggingFace Releases 🍷 FineWeb: A New Large-Scale (15-Trillion Tokens, 44TB Disk Space) Dataset for LLM Pretraining Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) possess advanced language understanding, enabling a shift in application development where AI agents communicate with LLMs via natural language prompts to complete tasks collaboratively. Applications like Microsoft Teams and Google Meet use LLMs to summarize meetings, while search engines like… Read More »Parrot: Optimizing End-to-End Performance in LLM Applications Through Semantic Variables Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Mathematical reasoning has long been a critical area of research within computer science. With the advancement of large language models (LLMs), there has been significant progress in automating mathematical problem-solving. This involves the development of models that can interpret, solve, and explain complex mathematical… Read More »From Static to Conversational: MathChat and MathChatsync Open New Doors for Dialogue-Based Math with LLMs Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Numerous groundbreaking models—including ChatGPT, Bard, LLaMa, AlphaFold2, and Dall-E 2—have surfaced in different domains since the Transformer’s inception in Natural Language Processing (NLP). Attempts to solve combinatorial optimization issues like the Traveling Salesman Problem (TSP) using deep learning have progressed logically from convolutional neural… Read More »CycleFormer: A New Transformer Model for the Traveling Salesman Problem (TSP) Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The capacity to quickly store and analyze highly related data has led to graph databases’ meteoric popularity in the past few years. Applications like social networks, recommendation engines, and fraud detection benefit greatly from graph databases, which differ from conventional relational databases’ ability to… Read More »Top Open Source Graph Databases Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Deep learning foundation models revolutionize fields like protein structure prediction, drug discovery, computer vision, and natural language processing. They rely on pretraining to learn intricate patterns from diverse data and fine-tuning to excel in specific tasks with limited data. The Earth system, comprising interconnected… Read More »Researchers at Microsoft Introduce Aurora: A Large-Scale Foundation Model of the Atmosphere Trained on Over a Million Hours of Diverse Weather and Climate Data Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have made significant advancements in natural language processing but face challenges due to memory and computational demands. Traditional quantization techniques reduce model size by decreasing the bit-width of model weights, which helps mitigate these issues but often leads to performance… Read More »LLM-QFA Framework: A Once-for-All Quantization-Aware Training Approach to Reduce the Training Cost of Deploying Large Language Models (LLMs) Across Diverse Scenarios Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost