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SelfCodeAlign: An Open and Transparent AI Framework for Training Code LLMs that Outperforms Larger Models without Distillation or Annotation Costs Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Artificial intelligence has transformed code generation, with large language models (LLMs) for code now integral to software engineering. These models support code synthesis, debugging, and optimization tasks by analyzing vast codebases. However, the development of these code-focused LLMs faces significant challenges. Training requires high-quality… Read More »SelfCodeAlign: An Open and Transparent AI Framework for Training Code LLMs that Outperforms Larger Models without Distillation or Annotation Costs Sana Hassan Artificial Intelligence Category – MarkTechPost

Microsoft Researchers Introduce Magentic-One: A Modular Multi-Agent System Focused on Enhancing AI Adaptability and Task Completion Across Benchmark Tests Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Agentic systems are a progressive branch of artificial intelligence that aims to create solutions capable of autonomously handling complex, multi-step tasks across various environments. These systems go beyond the typical scope of machine learning models by incorporating capabilities that allow them to perceive and… Read More »Microsoft Researchers Introduce Magentic-One: A Modular Multi-Agent System Focused on Enhancing AI Adaptability and Task Completion Across Benchmark Tests Asif Razzaq Artificial Intelligence Category – MarkTechPost

NVIDIA AI Introduces MM-Embed: The First Multimodal Retriever Achieving SOTA Results on the Multimodal M-BEIR Benchmark Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” In the world of information retrieval, one of the most challenging tasks is to create a system that can seamlessly understand and retrieve relevant content across different formats, such as text and images, without losing accuracy. Most state-of-the-art retrieval models are still confined to… Read More »NVIDIA AI Introduces MM-Embed: The First Multimodal Retriever Achieving SOTA Results on the Multimodal M-BEIR Benchmark Asif Razzaq Artificial Intelligence Category – MarkTechPost

Unleash the power of generative AI with Amazon Q Business: How CCoEs can scale cloud governance best practices and drive innovation Steven Craig AWS Machine Learning Blog

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​[[{“value”:” This post is co-written with Steven Craig from Hearst.  To maintain their competitive edge, organizations are constantly seeking ways to accelerate cloud adoption, streamline processes, and drive innovation. However, Cloud Center of Excellence (CCoE) teams often can be perceived as bottlenecks to organizational transformation… Read More »Unleash the power of generative AI with Amazon Q Business: How CCoEs can scale cloud governance best practices and drive innovation Steven Craig AWS Machine Learning Blog

Meta AI Introduces AdaCache: A Training-Free Method to Accelerate Video Diffusion Transformers (DiTs) Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Video generation has rapidly become a focal point in artificial intelligence research, especially in generating temporally consistent, high-fidelity videos. This area involves creating video sequences that maintain visual coherence across frames and preserve details over time. Machine learning models, particularly diffusion transformers (DiTs), have… Read More »Meta AI Introduces AdaCache: A Training-Free Method to Accelerate Video Diffusion Transformers (DiTs) Nikhil Artificial Intelligence Category – MarkTechPost

Integrate foundation models into your code with Amazon Bedrock Rajakumar Sampathkumar AWS Machine Learning Blog

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​[[{“value”:” The rise of large language models (LLMs) and foundation models (FMs) has revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). These powerful models, trained on vast amounts of data, can generate human-like text, answer questions, and even engage in creative… Read More »Integrate foundation models into your code with Amazon Bedrock Rajakumar Sampathkumar AWS Machine Learning Blog

Build and deploy a UI for your generative AI applications with AWS and Python Lior Perez AWS Machine Learning Blog

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​[[{“value”:” The emergence of generative AI has ushered in a new era of possibilities, enabling the creation of human-like text, images, code, and more. However, as exciting as these advancements are, data scientists often face challenges when it comes to developing UIs and to prototyping… Read More »Build and deploy a UI for your generative AI applications with AWS and Python Lior Perez AWS Machine Learning Blog

Unearth insights from audio transcripts generated by Amazon Transcribe using Amazon Bedrock Ana Echeverri AWS Machine Learning Blog

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​[[{“value”:” Generative AI continues to push the boundaries of what’s possible. One area garnering significant attention is the use of generative AI to analyze audio and video transcripts, increasing our ability to extract valuable insights from content stored in audio or video files. Speech data… Read More »Unearth insights from audio transcripts generated by Amazon Transcribe using Amazon Bedrock Ana Echeverri AWS Machine Learning Blog

Scale AI and Meta Introduces Defense Llama: The LLM Purpose-Built for American National Security Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” The quest to strengthen national security has faced several challenges over the years, especially as the pace of technological advancement has far outstripped the speed of legislative and bureaucratic adaptation. With a growing dependence on technology, the need to protect sensitive information and secure… Read More »Scale AI and Meta Introduces Defense Llama: The LLM Purpose-Built for American National Security Nikhil Artificial Intelligence Category – MarkTechPost

Matrix-Free Differentiation: Advancing Probabilistic Machine Learning Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Automatic differentiation has transformed the development of machine learning models by eliminating complex, application-dependent gradient derivations.  This transformation helps to calculate  Jacobian-vector and vector-Jacobian products without creating the full Jacobian matrix, which is crucial for tuning scientific and probabilistic machine learning models. Otherwise, it… Read More »Matrix-Free Differentiation: Advancing Probabilistic Machine Learning Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost