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Stability AI Introduces Stable Code: A General Purpose Base Code Language Model Mohammad Asjad Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Machine Learning has iconic applications in programming languages, from code understanding to code representation or completion. Earlier work focused on exploiting the underlying deep semantic structure of programming languages like Code2Vec, Code2Seq, and Graph Representation Learning for Code. The above architectures are tailor-made for… Read More »Stability AI Introduces Stable Code: A General Purpose Base Code Language Model Mohammad Asjad Artificial Intelligence Category – MarkTechPost

MLOps and DevOps: Collaborating for Vector Database Excellence in Machine Learning Projects Adnan Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” In the rapidly evolving technology landscape, where machine learning (ML) projects are at the forefront of innovation, the importance of effective collaboration between Machine Learning Operations (MLOps) and Development Operations (DevOps) cannot be overstated. This synergy is especially crucial in vector databases, which are… Read More »MLOps and DevOps: Collaborating for Vector Database Excellence in Machine Learning Projects Adnan Hassan Artificial Intelligence Category – MarkTechPost

PrivateGPT: A Production-Ready AI Project that Allows You to Ask Questions About Your Documents Using the Power of Large Language Models (LLMs) Even without Internet Niharika Singh Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Keeping data private while using advanced technology is becoming increasingly challenging. Many industries, such as healthcare and legal, handle sensitive information daily. These sectors often hesitate to adopt new tech tools, fearing that their data might not remain confidential. This concern arises especially when… Read More »PrivateGPT: A Production-Ready AI Project that Allows You to Ask Questions About Your Documents Using the Power of Large Language Models (LLMs) Even without Internet Niharika Singh Artificial Intelligence Category – MarkTechPost

Exploration of How Large Language Models Navigate Decision Making with Strategic Prompt Engineering and Summarization Adnan Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” The search to harness the full potential of artificial intelligence has led to groundbreaking research at the intersection of reinforcement learning (RL) and Large Language Models (LLMs). Reinforcement learning has been a playground for algorithms that learn through trial and error, a process that… Read More »Exploration of How Large Language Models Navigate Decision Making with Strategic Prompt Engineering and Summarization Adnan Hassan Artificial Intelligence Category – MarkTechPost

AI’s Thirst for Power: Can Nuclear Fusion Quench It? Shobha Kakkar Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” As the capabilities of artificial intelligence (AI) continue to expand, so too does its appetite for energy. The intersection of AI’s potential to revolutionize industries and its environmental impact presents a paradox that the tech world is eager to solve. Among the voices offering… Read More »AI’s Thirst for Power: Can Nuclear Fusion Quench It? Shobha Kakkar Artificial Intelligence Category – MarkTechPost

Revolutionizing Information Retrieval: How the FollowIR Dataset Enhances Models’ Ability to Understand and Follow Complex Instructions Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Information Retrieval (IR) involves technologies and models that allow users to extract relevant information from large datasets. This field has evolved significantly with modern computational techniques, facilitating more efficient and precise search capabilities across vast digital information landscapes. Despite advancements, a prevailing issue within… Read More »Revolutionizing Information Retrieval: How the FollowIR Dataset Enhances Models’ Ability to Understand and Follow Complex Instructions Nikhil Artificial Intelligence Category – MarkTechPost

Enhancing Graph Neural Networks for Heterophilic Graphs: McGill University Researchers Introduce Directional Graph Attention Networks (DGAT) Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Graph neural networks (GNNs) have revolutionized how researchers analyze and learn from data structured in complex networks. These models capture the intricate relationships inherent in graphs, which are omnipresent in social networks, molecular structures, and communication networks, to name a few areas. Central to… Read More »Enhancing Graph Neural Networks for Heterophilic Graphs: McGill University Researchers Introduce Directional Graph Attention Networks (DGAT) Sana Hassan Artificial Intelligence Category – MarkTechPost

HyperLLaVA: Enhancing Multimodal Language Models with Dynamic Visual and Language Experts Vineet Kumar Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large Language Models (LLMs) have demonstrated remarkable versatility in handling various language-centric applications. To extend their capabilities to multimodal inputs, Multimodal Large Language Models (MLLMs) have gained significant attention. These models are crucial for developing flexible, general-purpose assistants that can understand information from diverse… Read More »HyperLLaVA: Enhancing Multimodal Language Models with Dynamic Visual and Language Experts Vineet Kumar Artificial Intelligence Category – MarkTechPost

OpenAI Sets Sight on Voice Assistant Market with New ‘Voice Engine’ Trademark Shobha Kakkar Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” In a bold move that signals a potential shift in the digital voice assistant market, OpenAI, the maker of ChatGPT, has filed a trademark application for a tool named “Voice Engine.” This strategic step could position OpenAI as a tough competitor to established tech… Read More »OpenAI Sets Sight on Voice Assistant Market with New ‘Voice Engine’ Trademark Shobha Kakkar Artificial Intelligence Category – MarkTechPost

SoftPatch: A Memory-Based Unsupervised Anomaly Detection AD Method that Efficiently Denoises the Data at the Patch Level Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Anomaly detection (AD) is a crucial process in industrial applications, used to identify unexpected events in the input data. This process is often applied to analyze images and detect defects, but it is particularly challenging due to the complexity of the defects, which can… Read More »SoftPatch: A Memory-Based Unsupervised Anomaly Detection AD Method that Efficiently Denoises the Data at the Patch Level Asif Razzaq Artificial Intelligence Category – MarkTechPost