​[[{“value”:” Analogical reasoning, fundamental to human abstraction and creative thinking, enables understanding relationships between objects. This capability is distinct from semantic and procedural knowledge acquisition, which contemporary connectionist approaches like deep neural networks (DNNs) typically handle. However, these techniques often need help to extract relational… Read More »This AI Paper from Georgia Institute of Technology Introduces LARS-VSA (Learning with Abstract RuleS): A Vector Symbolic Architecture For Learning with Abstract Rules Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have become increasingly prominent in natural language processing because they can perform a wide range of tasks with high accuracy. These models require fine-tuning to adapt to specific tasks, which typically involves adjusting many parameters, thereby consuming substantial computational resources… Read More »Training on a Dime: MEFT Achieves Performance Parity with Reduced Memory Footprint in LLM Fine-Tuning Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In large language models, understanding how they work and what they pay attention to is crucial for improving their performance. However, analyzing the attention patterns of these models, especially in large-scale scenarios, can be daunting. Researchers and developers often need to gain insights into… Read More »Inspectus: An Open-Sourced Large Language Model LLM Attention Visualization Library Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Researchers from C4DM, Queen Mary University of London, Sony AI, and Music X Lab, MBZUAI, have introduced Instruct-MusicGen to address the challenge of text-to-music editing, where textual queries are used to modify music, such as changing its style or adjusting instrumental components. Current methods… Read More »Instruct-MusicGen: A Novel Artificial Intelligence AI Approach to Text-to-Music Editing that Fosters Joint Musical and Textual Controls Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In a groundbreaking development, Timescale, the PostgreSQL cloud database company, has introduced two revolutionary open-source extensions, pgvectorscale, and pgai. These innovations have made PostgreSQL faster than Pinecone for AI workloads and 75% cheaper. Let’s explore how these extensions work and their implications for AI… Read More »A New Era AI Databases: PostgreSQL with pgvectorscale Outperforms Pinecone and Cuts Costs by 75% with New Open-Source Extensions Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Most LMMs integrate vision and language by converting images into visual tokens fed as sequences into LLMs. While effective for multimodal understanding, this method significantly increases memory and computation demands, especially with high-resolution photos or videos. Various techniques, like spatial grouping and token compression,… Read More »DeepStack: Enhancing Multimodal Models with Layered Visual Token Integration for Superior High-Resolution Performance Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have achieved remarkable success across various domains, but training them centrally requires massive data collection and annotation efforts, making it costly for individual parties. Federated learning (FL) has emerged as a promising solution, enabling collaborative training of LLMs on decentralized… Read More »Benchmarking Federated Learning for Large Language Models with FedLLM-Bench Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​In practice, training using federated learning can be orders of magnitude slower than standard centralized training. This severely limits the amount of experimentation and tuning that can be done, making it challenging to obtain good performance on a given task. Server-side proxy data can be… Read More »Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials Apple Machine Learning Research

​Human evaluation is a critical component in machine translation system development and has received much attention in text translation research. However, little prior work exists on the topic of human evaluation for speech translation, which adds additional challenges such as noisy data and segmentation mismatches.… Read More »Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation Apple Machine Learning Research

​[[{“value”:” Human-computer interaction (HCI) focuses on designing and using computer technology, particularly the interfaces between people (users) and computers. Researchers in this field observe how humans interact with computers & design technologies that let humans interact with computers in novel ways. HCI encompasses various areas,… Read More »Balancing AI Tools and Traditional Learning: Integrating Large Language Models in Programming Education Aswin Ak Artificial Intelligence Category – MarkTechPost