​[[{“value”:” AI chatbots and virtual assistants have become increasingly popular in recent years thanks the breakthroughs of large language models (LLMs). Trained on a large volume of datasets, these models incorporate memory components in their architectural design, allowing them to understand and comprehend textual context.… Read More »Improve AI assistant response accuracy using Knowledge Bases for Amazon Bedrock and a reranking model Wei Teh AWS Machine Learning Blog

​[[{“value”:” Innovations in artificial intelligence (AI) and machine learning (ML) are causing organizations to take a fresh look at the possibilities these technologies can offer. As you aim to bring your proofs of concept to production at an enterprise scale, you may experience challenges aligning… Read More »Automate the machine learning model approval process with Amazon SageMaker Model Registry and Amazon SageMaker Pipelines Jason Sizer McIntosh AWS Machine Learning Blog

​[[{“value”:” Taipy and Streamlit have garnered significant attention among data scientists & machine learning engineers in Python-based web application frameworks. Both platforms offer unique functionalities tailored to different development needs. Let’s compare Taipy’s callback functionalities and Streamlit’s caching mechanisms and how Taipy beats Streamlit in… Read More »Comparing Taipy’s Callbacks and Streamlit’s Caching: A Detailed Technical Analysis Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The Role of Explainable AI in In Vitro Diagnostics Under European Regulations: AI is increasingly critical in healthcare, especially in vitro diagnostics (IVD). The European IVDR recognizes software, including AI and ML algorithms, as part of IVDs. This regulatory framework presents significant challenges for… Read More »Navigating Explainable AI in In Vitro Diagnostics: Compliance and Transparency Under European Regulations Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid advancements in AI have led to the development of increasingly powerful and efficient language models. Among the most notable recent releases are Mistral NeMo, developed by Mistral in partnership with Nvidia, and Meta’s Llama 3.1 8B model. Both are top-tier small language… Read More »Mistral NeMo vs Llama 3.1 8B: A Comparative Analysis Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” MiniCPM-V 2.6 represents the latest and most advanced iteration in the MiniCPM-V series, constructed on the SigLip-400M and Qwen2-7B frameworks, boasting a total of 8 billion parameters. This model introduces significant enhancements in performance and new features tailored for multi-image and video understanding, achieving… Read More »MiniCPM-V 2.6: A GPT-4V Level Multimodal LLMs for Single Image, Multi-Image, and Video on Your Phone Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Advancements in NLP have led to the development of large language models (LLMs) capable of performing complex language-related tasks with high accuracy. These advancements have opened up new possibilities in technology and communication, allowing for more natural and effective human-computer interactions. A significant problem… Read More »Meta presents Self-Taught Evaluators: A New AI Approach that Aims to Improve Evaluators without Human Annotations and Outperforms Commonly Used LLM Judges Such as GPT-4 Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” PleIAs recently announced the release of OCRonos-Vintage, a specialized pre-trained model designed specifically for Optical Character Recognition (OCR) correction. This innovative model represents a significant milestone in OCR technology, particularly in its application to cultural heritage archives. OCRonos-Vintage is a 124 million-parameter model uniquely… Read More »PleIAs Released OCRonos-Vintage: A 124 Million Parameter Model Trained on 18 Billion Tokens for Superior OCR Correction in Cultural Heritage Archives Asif Razzaq Artificial Intelligence Category – MarkTechPost