StepCoder: A Revolutionary Reinforcement Learning Framework for Code Generation
Introduction In the realm of artificial intelligence, code generation has always been a challenging task. While large language models (LLMs)
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Author: Rishabh Dwivedi
Meet Graph-Mamba: A Novel Graph Model that Leverages State Space Models (SSM) for Efficient Data-Dependent Context Selection
Graph modeling has proven to be a challenging task, especially when it comes to capturing long-range dependencies and handling scalability
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CMU Researchers Introduce OWSM v3.1: A Better and Faster Open Whisper-Style Speech Model-Based on E-Branchformer
Speech recognition technology has revolutionized the way we interact with machines, enabling them to understand and process human speech. It
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Repurposing LLMs: Unlocking the Power of Language Models for Time Series Forecasting
The field of time series forecasting is constantly evolving, with researchers and practitioners continuously seeking innovative approaches to improve the
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AI Paper from China Introduces BGE-M3: A Breakthrough in Multilingual Text Embedding
Artificial Intelligence (AI) continues to revolutionize the way we process and understand human language. One of the latest advancements in
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Computer Vision in Telemedicine for Enhanced Healthcare Delivery
Telemedicine, the practice of providing healthcare remotely using technology, has gained significant popularity in recent years. With advancements in computer
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Enhancing the Accuracy of Large Language Models with Corrective Retrieval Augmented Generation (CRAG)
In recent years, large language models (LLMs) have made significant strides in natural language processing tasks, exhibiting impressive linguistic capabilities.
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Shanghai AI Lab Presents HuixiangDou: A Domain-Specific Knowledge Assistant Powered by Large Language Model
In the fast-paced world of technology and development, staying updated and knowledgeable about the latest advancements can be a challenge.
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Meet Taipy: An Open-Source Python Library Designed for Data Scientists and Machine Learning Engineers for Easy and End-to-End Application Development
In today’s data-driven world, data scientists and machine learning engineers play a crucial role in extracting valuable insights from vast
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MaLA-500: Revolutionizing Language Models with Unprecedented Language Coverage
Language models have revolutionized the field of Natural Language Processing (NLP) by enabling machines to comprehend and generate human language.
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