Google AI Introduces GRANOLA QA: Revolutionizing Question Answering with Multi-Granularity Evaluation
Large Language Models (LLMs) have demonstrated exceptional capabilities in natural language processing and find their application in almost every field, with factual question-answering being one of the most common use…
Researchers from UC Berkeley and Meta Present AST-T5: A Novel Pretraining Paradigm that Harnesses the Power of Abstract Syntax Trees (ASTs) to Boost the Performance of Code-Centric Language Models
LLMs have had a significant impact in the fields of code generation and comprehension. These models, trained on extensive code datasets such as GitHub, excel in tasks like text-to-code conversion,…
This AI Paper Introduces the Open-Vocabulary SAM: A SAM-Inspired Model Designed for Simultaneous Interactive Segmentation and Recognition
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…
A New Saudi AI Research Initiative Integrating Supervised and Unsupervised Machine Learning Models to Combat $500 Billion Global Tax Fraud Issue
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,…
AWS Researchers Propose Panda: A New Machine Learning Framework to Provide Context Grounding to Pre-Trained LLMs
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…
This Paper Explores the Application of Deep Learning in Blind Motion Deblurring: A Comprehensive Review and Future Prospects
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…
Google AI Research Introduces Patchscopes: A Revolutionary AI Framework for Decoding and Enhancing the Interpretability of Large Language Models
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…
Meet LLM AutoEval: An AI Platform that Automatically Evaluates Your LLMs in Google Colab
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…
Mistral AI Introduces Mixtral 8x7B: a Sparse Mixture of Experts (SMoE) Language Model Transforming Machine Learning
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.…
‘Let’s Go Shopping (LGS)’ Dataset: A Large-Scale Public Dataset with 15M Image-Caption Pairs from Publicly Available E-commerce Websites
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…