​[[{“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

​[[{“value”:” Large Language Models (LLMs) have revolutionized the field of natural language processing, allowing machines to understand and generate human language. These models, such as GPT-4 and Gemini-1.5, are crucial for extensive text processing applications, including summarization and question answering. However, managing long contexts remains… Read More »Self-Route: A Simple Yet Effective AI Method that Routes Queries to RAG or Long Context LC based on Model Self-Reflection Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Harvard researchers have recently unveiled ReXrank, an open-source leaderboard dedicated to AI-powered radiology report generation. This significant development is poised to revolutionize the field of healthcare AI, particularly in interpreting chest x-ray images. The introduction of ReXrank aims to set new standards by providing… Read More »Harvard Researchers Unveil ReXrank: An Open-Source Leaderboard for AI-Powered Radiology Report Generation from Chest X-ray Images Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence, particularly in training large multimodal models (LMMs), relies heavily on vast datasets that include sequences of images and text. These datasets enable the development of sophisticated models capable of understanding and generating multimodal content. As AI models’ capabilities advance, the need for… Read More »MINT-1T Dataset Released: A Multimodal Dataset with One Trillion Tokens to Build Large Multimodal Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence (AI) is dedicated to developing systems capable of performing tasks that typically require human intelligence. This dedication is met with numerous challenges along the way. One such challenge in AI is creating systems that can manage complex, realistic tasks requiring extensive interaction… Read More »This AI Paper Introduces AssistantBench and SeePlanAct: A Benchmark and Agent for Complex Web-Based Tasks Nikhil Artificial Intelligence Category – MarkTechPost