​ Debugging performance issues in databases is challenging, and there is a need for a tool that can provide useful and in-context troubleshooting recommendations. Large Language Models (LLMs) like ChatGPT can answer many questions but often provide vague or generic recommendations for database performance queries.… Read More »AWS Researchers Propose Panda: A New Machine Learning Framework to Provide Context Grounding to Pre-Trained LLMs Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​ Tax fraud, characterized by the deliberate manipulation of information in tax returns to reduce tax liabilities, poses a substantial challenge for governments globally. The resultant annual financial losses are immense, emphasizing the critical need for effective fraud detection measures. Tax authorities worldwide are turning… Read More »A New Saudi AI Research Initiative Integrating Supervised and Unsupervised Machine Learning Models to Combat $500 Billion Global Tax Fraud Issue Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ Combining CLIP and the Segment Anything Model (SAM) is a groundbreaking Vision Foundation Models (VFMs) approach. SAM performs superior segmentation tasks across diverse domains, while CLIP is renowned for its exceptional zero-shot recognition capabilities.  While SAM and CLIP offer significant advantages, they also come… Read More »This AI Paper Introduces the Open-Vocabulary SAM: A SAM-Inspired Model Designed for Simultaneous Interactive Segmentation and Recognition Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ Language Model evaluation is crucial for developers striving to push the boundaries of language understanding and generation in natural language processing. Meet LLM AutoEval: a promising tool designed to simplify and expedite the process of evaluating Language Models (LLMs).  LLM AutoEval is tailored for… Read More »Meet LLM AutoEval: An AI Platform that Automatically Evaluates Your LLMs in Google Colab Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Language models have revolutionized the way machines comprehend and produce human-like text. These intricate systems use neural networks to interpret and respond to linguistic inputs. Their aptitude to process and generate language has far-reaching consequences in multiple fields, from automated chatbots to advanced data… Read More »Google AI Research Introduces Patchscopes: A Revolutionary AI Framework for Decoding and Enhancing the Interpretability of Large Language Models Sana Hassan Artificial Intelligence Category – MarkTechPost

​ When the camera and the subject move about one another during the exposure, the result is a typical artifact known as motion blur. Computer vision tasks like autonomous driving, object segmentation, and scene analysis can negatively impact this effect, which blurs or stretches the… Read More »This Paper Explores the Application of Deep Learning in Blind Motion Deblurring: A Comprehensive Review and Future Prospects Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ In recent research, a team of researchers from Mistral AI has presented Mixtral 8x7B, a language model based on the new Sparse Mixture of Experts (SMoE) model with open weights. Licensed under the Apache 2.0 license and as a sparse network of a mixture… Read More »Mistral AI Introduces Mixtral 8x7B: a Sparse Mixture of Experts (SMoE) Language Model Transforming Machine Learning Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Developing large-scale datasets has been critical in computer vision and natural language processing. These datasets, rich in visual and textual information, are fundamental to developing algorithms capable of understanding and interpreting images. They serve as the backbone for enhancing machine learning models, particularly those… Read More »‘Let’s Go Shopping (LGS)’ Dataset: A Large-Scale Public Dataset with 15M Image-Caption Pairs from Publicly Available E-commerce Websites Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​ Text-to-image synthesis is a revolutionary technology that converts textual descriptions into vivid visual content. This technology’s significance lies in its potential applications, ranging from artistic digital creation to practical design assistance across various sectors. However, a pressing challenge in this domain is creating models… Read More »This AI Paper from Segmind and HuggingFace Introduces Segmind Stable Diffusion (SSD-1B) and Segmind-Vega (with 1.3B and 0.74B): Revolutionizing Text-to-Image AI with Efficient, Scaled-Down Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ There has been a dramatic increase in the complexity of the computer vision model landscape. Many models are now at your fingertips, from the first ConvNets to the latest Vision Transformers. Just as supervised learning on ImageNet gave way to self-supervised learning and image-text… Read More »How to Choose the Right Vision Model for Your Specific Needs: Beyond ImageNet Accuracy – A Comparative Analysis of Convolutional Neural Networks and Vision Transformer Architectures Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost