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This Paper Introduces GPTSwarm: An Open-Source Machine Learning Framework that Constructs Language Agents from Graphs and Agent Societies from Graph Compositions Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” The development and optimization of language-based agents stand as a beacon of innovation, driving forward the capabilities of machines to understand, interpret, and respond to human languages in complex ways. These agents have been confined to narrowly defined tasks, each operating within its silo,… Read More »This Paper Introduces GPTSwarm: An Open-Source Machine Learning Framework that Constructs Language Agents from Graphs and Agent Societies from Graph Compositions Nikhil Artificial Intelligence Category – MarkTechPost

From Google AI: Advancing Machine Learning with Enhanced Transformers for Superior Online Continual Learning Mohammad Arshad Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” The dominance of transformers in various sequence modeling tasks, from natural language to audio processing, is undeniable. What’s intriguing is their recent expansion into non-sequential domains like image classification, thanks to their inherent ability to process and attend to sets of tokens as context.… Read More »From Google AI: Advancing Machine Learning with Enhanced Transformers for Superior Online Continual Learning Mohammad Arshad Artificial Intelligence Category – MarkTechPost

Meta AI Introduces Branch-Train-MiX (BTX): A Simple Continued Pretraining Method to Improve an LLM’s Capabilities Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” In the landscape of artificial intelligence, developing Large Language Models (LLMs) has been a cornerstone for various applications that can range from natural language processing to code generation. The relentless pursuit of advancing these models has introduced new methodologies aimed at refining their capabilities… Read More »Meta AI Introduces Branch-Train-MiX (BTX): A Simple Continued Pretraining Method to Improve an LLM’s Capabilities Sana Hassan Artificial Intelligence Category – MarkTechPost

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

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​[[{“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

Construction of Paired Knowledge Graph – Text Datasets Informed by Cyclic Evaluation Apple Machine Learning Research

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​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

Meet Devin: The World’s First Fully Autonomous AI Software Engineer Adnan Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“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

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

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​[[{“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

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

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​[[{“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