​[[{“value”:” Foundational models are large deep-learning neural networks that are used as a starting point to develop effective ML models. They rely on large-scale training data and exhibit exceptional zero/few-shot performance in numerous tasks, making them invaluable in the field of natural language processing and… Read More »TikTok Researchers Introduce ‘Depth Anything’: A Highly Practical Solution for Robust Monocular Depth Estimation Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In advanced machine learning, Retrieval-Augmented Generation (RAG) systems have revolutionized how we approach large language models (LLMs). These systems extend the capabilities of LLMs by integrating an Information Retrieval (IR) phase, which allows them to access external data. This integration is crucial, as it… Read More »This Paper Reveals The Surprising Influence of Irrelevant Data on Retrieval-Augmented Generation RAG Systems’ Accuracy and Future Directions in AI Information Retrieval Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Optimizing code through abstraction in software development is not just a practice but a necessity. It leads to streamlined processes, where reusable components simplify tasks, increase code readability, and foster reuse. The development of generalizable abstractions, especially in automated program synthesis, stands at the… Read More »This AI Paper from UNC-Chapel Hill Proposes ReGAL: A Gradient-Free Method for Learning a Library of Reusable Functions via Code Refactorization Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Natural Language Processing (NLP) is one area where Large transformer-based Language Models (LLMs) have achieved remarkable progress in recent years. Also, LLMs are branching out into other fields, like robotics, audio, and medicine. Modern approaches allow LLMs to produce visual data using specialized modules… Read More »Microsoft Researchers Introduce StrokeNUWA: Tokenizing Strokes for Vector Graphic Synthesis Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have gathered a massive amount of attention and popularity among the Artificial Intelligence (AI) community in recent months. These models have demonstrated great capabilities in tasks including text summarization, question answering, code completion, content generation, etc.  LLMs are frequently trained… Read More »This AI Paper from CMU and Apple Unveils WRAP: A Game-Changer for Pre-training Language Models with Synthetic Data Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Creating effective pipelines, especially using RAG (Retrieval-Augmented Generation), can be quite challenging in information retrieval. These pipelines involve various components, and choosing the right models for retrieval is crucial. While dense embeddings like OpenAI’s text-ada-002 serve as a good starting point, recent research suggests… Read More »Meet RAGatouille: A Machine Learning Library to Train and Use SOTA Retrieval Model, ColBERT, in Just a Few Lines of Code Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Mobile device agents utilizing Multimodal Large Language Models (MLLM) have gained popularity due to the rapid advancements in MLLMs, showcasing notable visual comprehension capabilities. This progress has made MLLM-based agents viable for diverse applications. The emergence of mobile device agents represents a novel application,… Read More »Alibaba Researchers Introduce Mobile-Agent: An Autonomous Multi-Modal Mobile Device Agent Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have become a prominent force in the rapidly evolving landscape of artificial intelligence. These models, built primarily on Transformer architectures, have expanded AI’s capabilities in understanding and generating human language, leading to diverse applications. Yet, a notable challenge in this… Read More »AIWaves Introduces Weaver: A Family of LLMs Specialized for Writing Endeavors Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Meta-learning, a burgeoning field in AI research, has made significant strides in training neural networks to adapt swiftly to new tasks with minimal data. This technique centers on exposing neural networks to diverse tasks, thereby cultivating versatile representations crucial for general problem-solving. Such varied… Read More »Google DeepMind Researchers Unveil a Groundbreaking Approach to Meta-Learning: Leveraging Universal Turing Machine Data for Advanced Neural Network Training Sana Hassan Artificial Intelligence Category – MarkTechPost