​[[{“value”:” Large Language Models (LLMs) with parametric memory of rules and knowledge have shown limitations in implicit reasoning. Research has shown that these models, even more complex ones like GPT-4, have trouble applying and integrating internalized facts reliably. For instance, even when they are aware… Read More »This AI Research from Ohio State University and CMU Discusses Implicit Reasoning in Transformers And Achieving Generalization Through Grokking Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Complex Human Activity Recognition (CHAR) in ubiquitous computing, particularly in smart environments, presents significant challenges due to the labor-intensive and error-prone process of labeling datasets with precise temporal information of atomic activities. This task becomes impractical in real-world scenarios where accurate and detailed labeling… Read More »VCHAR: A Novel Artificial Intelligence AI Framework that Treats the Outputs of Atomic Activities as a Distribution Over Specified Intervals Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In a recent study by Innodata, various large language models (LLMs) such as Llama2, Mistral, Gemma, and GPT were benchmarked for their performance in factuality, toxicity, bias, and propensity for hallucinations. The research introduced fourteen novel datasets designed to evaluate the safety of these… Read More »Innodata’s Comprehensive Benchmarking of Llama2, Mistral, Gemma, and GPT for Factuality, Toxicity, Bias, and Hallucination Propensity Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have demonstrated remarkable performance across various tasks, with reasoning capabilities being a crucial aspect of their development. However, the key elements driving these improvements remain unclear. Currently, the primary approaches to enhance reasoning involve increasing model size and expanding context… Read More »This AI Research from Tenyx Explore the Reasoning Abilities of Large Language Models (LLMs) Through Their Geometrical Understanding Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” VLMs like LLaVA-Med have advanced significantly, offering multi-modal capabilities for biomedical image and data analysis, which could aid radiologists. However, these models face challenges, such as hallucinations and imprecision in responses, leading to potential misdiagnoses. With radiology departments experiencing increased workloads and radiologists facing… Read More »D-Rax: Enhancing Radiologic Precision through Expert-Integrated Vision-Language Models Sana Hassan Artificial Intelligence Category – MarkTechPost

​ Dive into the world of prompt engineering and see how these powerful tools can complement your skills. Continue reading on Becoming Human: Artificial Intelligence Magazine »  Dive into the world of prompt engineering and see how these powerful tools can complement your skills.Continue reading… Read More »Mastering Prompt Engineering: Leveraging the Power of Generative AI Niño Ross Rodriguez Becoming Human: Artificial Intelligence Magazine – Medium

​[[{“value”:” Formal verification is crucial in software engineering to ensure program correctness through mathematical proof. One widely used technique for this purpose is bounded model checking (BMC), which involves verifying the correctness of a program within specified bounds. Python, a programming language favored for its… Read More »Researchers at the University of Manchester Proposes ESBMC-Python: The First BMC-based Python-code Verifier for Formal Verification of Python Programs Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This blog post is co-written with Qaish Kanchwala  from The Weather Company. As industries begin adopting processes dependent on machine learning (ML) technologies, it is critical to establish machine learning operations (MLOps) that scale to support growth and utilization of this technology. MLOps practitioners… Read More »The Weather Company enhances MLOps with Amazon SageMaker, AWS CloudFormation, and Amazon CloudWatch Qaish Kanchwala AWS Machine Learning Blog

​[[{“value”:” Eviden is a next-gen technology leader in data-driven, trusted, and sustainable digital transformation. With a strong portfolio of patented technologies and worldwide leading positions in advanced computing, security, AI, cloud, and digital platforms, Eviden provides deep expertise for a multitude of industries in more… Read More »Eviden scales AWS DeepRacer Global League using AWS DeepRacer Event Manager Sathya Paduchuri AWS Machine Learning Blog

​[[{“value”:” Stable Diffusion XL by Stability AI is a high-quality text-to-image deep learning model that allows you to generate professional-looking images in various styles. Managed versions of Stable Diffusion XL are already available to you on Amazon SageMaker JumpStart (see Use Stable Diffusion XL with… Read More »Generate unique images by fine-tuning Stable Diffusion XL with Amazon SageMaker Alen Zograbyan AWS Machine Learning Blog