​[[{“value”:” In the data management and retrieval landscape, vector databases have emerged as a revolutionary force, transforming how businesses and tech enthusiasts harness the power of complex, high-dimensional data. Let’s delve into the intricacies of vector databases, shedding light on their real-world applications and their… Read More »The Ultimate Guide to Vector Databases: Use Cases and Industry Impact Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With the growing complexity of large language models (LLMs), making them easily runnable on everyday hardware is a notable challenge. This need is apparent for individuals and organizations that seek the benefits of LLMs without the high cost or technical barrier often associated with… Read More »Meet IPEX-LLM: A PyTorch Library for Running LLMs on Intel CPU and GPU Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In document processing, particularly visually rich documents (VRDs), the need for efficient information extraction (IE) has become increasingly critical. VRDs, such as invoices, utility bills, and insurance quotes, are ubiquitous in business workflows, often presenting similar information in varying layouts and formats. Automating the… Read More »Google AI Researchers Propose a Noise-Aware Training Method (NAT) for Layout-Aware Language Models Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Global feature effects methods, such as Partial Dependence Plots (PDP) and SHAP Dependence Plots, have been commonly used to explain black-box models by showing the average effect of each feature on the model output. However, these methods fell short when the model exhibits interactions… Read More »Effector: A Python-based Machine Learning Library Dedicated to Regional Feature Effects Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence has witnessed remarkable advancements, with large language models (LLMs) emerging as fundamental tools driving various applications. However, the excessive computational costs of training these LLMs have created barriers, limiting accessibility and hindering wider development. Initiatives such as BLOOM, StarCoder, StarCoder-2, Pythia, and… Read More »AURORA-M: A 15B Parameter Multilingual Open-Source AI Model Trained in English, Finnish, Hindi, Japanese, Vietnamese, and Code Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In an era when data is as valuable as currency, many industries face the challenge of sharing and augmenting data across various entities without breaching privacy norms. Synthetic data generation allows organizations to circumvent privacy hurdles and unlock the potential for collaborative innovation. This… Read More »SiloFuse: Transforming Synthetic Data Generation in Distributed Systems with Enhanced Privacy, Efficiency, and Data Utility Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” API (Application Programming Interface) strategies are pivotal in effective database management and integration. In today’s fast-paced digital landscape, where organizations operate across various databases and applications, seamlessly integrating these components is not just beneficial; it’s necessary for operational efficiency, insightful data analysis, and delivering… Read More »API Strategies for Effective Database Management and Integration Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence is constantly advancing, and efforts to promote digital independence and language diversity have taken a significant step forward with the creation of Viking, a cutting-edge language model. Developed by Silo AI, Europe’s largest private AI lab, in collaboration with the TurkuNLP research… Read More »SILO AI Releases New Viking Model Family (Pre-Release): An Open-Source LLM for all Nordic languages, English and Programming Languages Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The fields of Natural Language Processing (NLP) and Natural Language Generation (NLG) have undergone amazing transformations since the introduction of Large Language Models (LLMs) and multimodal foundation models. These models, which include GPT4V, Claude, and Gemini, combine visual encoders and LLMs.  Present-day foundation models… Read More »IsoBench: An Artificial Intelligence Benchmark Dataset Containing Problems from Four Major Areas: Math, Science, Algorithms, and Games Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Linear attention-based models are gaining attention for their faster processing speed and comparable performance to Softmax transformers. However, large language models (LLMs), due to their large size and longer sequence lengths, exert significant strain on contemporary GPU hardware because a single GPU’s memory confines… Read More »Linear Attention Sequence Parallel (LASP): An Efficient Machine Learning Method Tailored to Linear Attention-Based Language Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost