​[[{“value”:” The landscape of artificial intelligence has seen significant advancements with the introduction of state-of-the-art language models. Among the leading models are Llama 3.1, GPT-4o, and Claude 3.5. Each model brings unique capabilities and improvements, reflecting the ongoing evolution of AI technology. Let’s analyze these… Read More »Llama 3.1 vs GPT-4o vs Claude 3.5: A Comprehensive Comparison of Leading AI Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) can improve their final answers by dedicating additional computer power to intermediate thought generation during inference. System 2 strategies are used in this procedure to mimic intentional and conscious reasoning. Many more System 2 strategies, such as Rephrase and Respond,… Read More »Optimizing Artificial Intelligence Performance by Distilling System 2 Reasoning into Efficient System 1 Responses Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) are used in various applications, such as machine translation, summarization, and content creation. However, a significant challenge with LLMs is their tendency to produce hallucinations—statements that sound plausible but are not grounded in factual information. This issue affects the reliability… Read More »IBM Researchers Propose a New Training-Free AI Approach to Mitigate Hallucination in LLMs Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In a groundbreaking achievement, AI systems developed by Google DeepMind have attained a silver medal-level score in the 2024 International Mathematical Olympiad (IMO), a prestigious global competition for young mathematicians. The AI models, named AlphaProof and AlphaGeometry 2, successfully solved four out of six… Read More »Google DeepMind’s AlphaProof and AlphaGeometry-2 Solves Advanced Reasoning Problems in Mathematics Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Databricks announced the public preview of the Mosaic AI Agent Framework and Agent Evaluation during the Data + AI Summit 2024. These innovative tools aim to assist developers in building and deploying high-quality Agentic and Retrieval Augmented Generation (RAG) applications on the Databricks Data… Read More »Databricks Announced the Public Preview of Mosaic AI Agent Framework and Agent Evaluation  Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The field of language models has seen remarkable progress, driven by transformers and scaling efforts. OpenAI’s GPT series demonstrated the power of increasing parameters and high-quality data. Innovations like Transformer-XL expanded context windows, while models such as Mistral, Falcon, Yi, DeepSeek, DBRX, and Gemini… Read More »Revolutionising Visual-Language Understanding: VILA 2’s Self-Augmentation and Specialist Knowledge Integration Shoaib Nazir Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Deep learning has demonstrated remarkable success across various scientific fields, showing its potential in numerous applications. These models often come with many parameters requiring extensive computational power for training and testing. Researchers have been exploring various methods to optimize these models, aiming to reduce… Read More »This Deep Learning Paper from Eindhoven University of Technology Releases Nerva: A Groundbreaking Sparse Neural Network Library Enhancing Efficiency and Performance Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the ever-evolving landscape of artificial intelligence (AI), the challenge of creating systems that can effectively collaborate in dynamic environments is a significant one. Multi-agent reinforcement learning (MARL) has been a key focus, aiming to teach agents to interact and adapt in such settings.… Read More »Theory of Mind Meets LLMs: Hypothetical Minds for Advanced Multi-Agent Tasks Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the domain of sequential decision-making, especially in robotics, agents often deal with continuous action spaces and high-dimensional observations. These difficulties result from making decisions across a broad range of potential actions like complex, continuous action spaces and evaluating enormous volumes of data. Advanced… Read More »PRISE: A Unique Machine Learning Method for Learning Multitask Temporal Action Abstractions Using Natural Language Processing (NLP) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) face deployment challenges due to latency issues caused by memory bandwidth constraints. Researchers use weight-only quantization to address this, compressing LLM parameters to lower precision. This approach improves latency and reduces GPU memory requirements. Implementing this effectively requires custom mixed-type… Read More »FLUTE: A CUDA Kernel Designed for Fused Quantized Matrix Multiplications to Accelerate LLM Inference Mohammad Asjad Artificial Intelligence Category – MarkTechPost