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The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Owing to the advent of Artificial Intelligence (AI), the software industry has been leveraging Large Language Models (LLMs) for code completion, debugging, and generating test cases. However, LLMs follow a generic approach when developing test cases for a different software, which prevents them from… Read More »The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation Afeerah Naseem Artificial Intelligence Category – MarkTechPost

Researchers from SynthLabs and Stanford Propose Meta Chain-of-Thought (Meta-CoT): An AI Framework for Improving LLM Reasoning Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have significantly advanced artificial intelligence, particularly in natural language understanding and generation. However, these models encounter difficulties with complex reasoning tasks, especially those requiring multi-step, non-linear processes. While traditional Chain-of-Thought (CoT) approaches, which promote step-by-step reasoning, improve performance on simpler… Read More »Researchers from SynthLabs and Stanford Propose Meta Chain-of-Thought (Meta-CoT): An AI Framework for Improving LLM Reasoning Asif Razzaq Artificial Intelligence Category – MarkTechPost

This AI Paper Introduces Virgo: A Multimodal Large Language Model for Enhanced Slow-Thinking Reasoning Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence research has steadily advanced toward creating systems capable of complex reasoning. Multimodal large language models (MLLMs) represent a significant development in this journey, combining the ability to process text and visual data. These systems can address intricate challenges like mathematical problems or… Read More »This AI Paper Introduces Virgo: A Multimodal Large Language Model for Enhanced Slow-Thinking Reasoning Nikhil Artificial Intelligence Category – MarkTechPost

TabTreeFormer: Enhancing Synthetic Tabular Data Generation Through Tree-Based Inductive Biases and Dual-Quantization Tokenization Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The generation of synthetic tabular data has become increasingly crucial in fields like healthcare and financial services, where privacy concerns often restrict the use of real-world data. While autoregressive transformers, masked transformers, and diffusion models with transformers, have shown significant success in generating high-quality… Read More »TabTreeFormer: Enhancing Synthetic Tabular Data Generation Through Tree-Based Inductive Biases and Dual-Quantization Tokenization Sajjad Ansari Artificial Intelligence Category – MarkTechPost

Privacy-Computation Trade-offs in Private Repetition and Metaselection Apple Machine Learning Research

​A Private Repetition algorithm takes as input a differentially private algorithm with constant success probability and boosts it to one that succeeds with high probability. These algorithms are closely related to private metaselection algorithms that compete with the best of many private algorithms, and private… Read More »Privacy-Computation Trade-offs in Private Repetition and Metaselection Apple Machine Learning Research

SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spotting Apple Machine Learning Research

​User-defined keyword spotting on a resource-constrained edge device is challenging. However, keywords are often bounded by a maximum keyword length, which has been largely under-leveraged in prior works. Our analysis of keyword-length distribution shows that user-defined keyword spotting can be treated as a length-constrained problem,… Read More »SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spotting Apple Machine Learning Research

Unlock cost-effective AI inference using Amazon Bedrock serverless capabilities with an Amazon SageMaker trained model jsaws AWS Machine Learning Blog

​[[{“value”:” In this post, I’ll show you how to use Amazon Bedrock—with its fully managed, on-demand API—with your Amazon SageMaker trained or fine-tuned model. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such… Read More »Unlock cost-effective AI inference using Amazon Bedrock serverless capabilities with an Amazon SageMaker trained model jsaws AWS Machine Learning Blog

Microsoft AI Just Fully Open-Sourced Phi-4: A Small Language Model Available on Hugging Face Under the MIT License Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Microsoft has open-sourced Phi-4, a compact and efficient small language model, on Hugging Face under the MIT license. This decision highlights a shift towards transparency and collaboration in the AI community, offering developers and researchers new opportunities. What Is Microsoft Phi-4? Phi-4 is a… Read More »Microsoft AI Just Fully Open-Sourced Phi-4: A Small Language Model Available on Hugging Face Under the MIT License Asif Razzaq Artificial Intelligence Category – MarkTechPost

This AI Paper Introduces Semantic Backpropagation and Gradient Descent: Advanced Methods for Optimizing Language-Based Agentic Systems Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language-based agentic systems represent a breakthrough in artificial intelligence, allowing for the automation of tasks such as question-answering, programming, and advanced problem-solving. These systems, heavily reliant on Large Language Models (LLMs), communicate using natural language. This innovative design reduces the engineering complexity of individual… Read More »This AI Paper Introduces Semantic Backpropagation and Gradient Descent: Advanced Methods for Optimizing Language-Based Agentic Systems Nikhil Artificial Intelligence Category – MarkTechPost

Advancing Test-Time Computing: Scaling System-2 Thinking for Robust and Cognitive AI Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The o1 model’s impressive performance in complex reasoning highlights the potential of test-time computing scaling, which enhances System-2 thinking by allocating greater computational effort during inference. While deep learning’s scaling effects have driven advancements in AI, particularly in LLMs like GPT, further scaling during… Read More »Advancing Test-Time Computing: Scaling System-2 Thinking for Robust and Cognitive AI Sana Hassan Artificial Intelligence Category – MarkTechPost