​[[{“value”:” Spotify, which is well-known for its vast collection of music and talk shows, has expanded its services to include audiobooks to serve a wider range of users. However, this extension comes with certain limitations, especially with regard to customized recommendations. Since audiobooks were originally… Read More »This AI Research Discusses Personalized Audiobook Recommendations at Spotify Using Graph Neural Networks and Introduces a New Recommendation Engine Called 2T-HGNN Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​Post Content   Read More  

​Post Content   Read More  

​Datasets that pair Knowledge Graphs (KG) and text together (KG-T) can be used to train forward and reverse neural models that generate text from KG and vice versa. However models trained on datasets where KG and text pairs are not equivalent can suffer from more… Read More »Construction of Paired Knowledge Graph – Text Datasets Informed by Cyclic Evaluation Apple Machine Learning Research

​[[{“value”:” The groundbreaking development in artificial intelligence has led to the creation of Devin by Cognition AI, the world’s first autonomous AI software engineer. This unique creation marks a significant leap forward in software engineering, setting a new benchmark in the SWE-Bench coding benchmark. Devin’s… Read More »Meet Devin: The World’s First Fully Autonomous AI Software Engineer Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The emergence of large language models (LLMs) has sparked a profound shift in the dynamic realm of scientific research. This transformation is most striking at the crossroads of artificial intelligence and materials science, where the capabilities of LLMs, such as GPT and its counterparts,… Read More »Empowering Materials Science with Large Language Models(LLM): Imperial College London’s Ingenious Use of LLMs for Data Analysis and Automation Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Advanced language models have revolutionized NLP, significantly improving machine understanding and generation of human language. This transformation, which you, as academic researchers and professionals in AI and machine learning, have played a significant role in, has spurred many AI applications, from enhancing conversational agents… Read More »This Paper Presents a Comprehensive Empirical Analysis of Algorithmic Progress in Language Model Pre-Training from 2012 to 2023 Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This is a guest post co-written with Scott Gutterman from the PGA TOUR. Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of… Read More »The journey of PGA TOUR’s generative AI virtual assistant, from concept to development to prototype Ahsan Ali AWS Machine Learning Blog

​[[{“value”:” In the world of software development, code review and approval are important processes for ensuring the quality, security, and functionality of the software being developed. However, managers tasked with overseeing these critical processes often face numerous challenges, such as the following: Lack of technical… Read More »Enhance code review and approval efficiency with generative AI using Amazon Bedrock Xan Huang AWS Machine Learning Blog

​[[{“value”:”Posted by Yun Zhu and Lijuan Liu, Software Engineers, Google Research Large language model (LLM) advancements have led to a new paradigm that unifies various natural language processing (NLP) tasks within an instruction-following framework. This paradigm is exemplified by recent multi-task LLMs, such as T0,… Read More »Cappy: Outperforming and boosting large multi-task language models with a small scorer Google AI Google AI Blog