​[[{“value”:” In today’s data-intensive business landscape, organizations face the challenge of extracting valuable insights from diverse data sources scattered across their infrastructure. Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of… Read More »Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q Monjumi Sarma AWS Machine Learning Blog

​[[{“value”:” Email remains a vital communication channel for business customers, especially in HR, where responding to inquiries can use up staff resources and cause delays. The extensive knowledge required can make it overwhelming to respond to email inquiries manually. In the future, high automation will… Read More »Automate Q&A email responses with Amazon Bedrock Knowledge Bases Darrin Weber AWS Machine Learning Blog

​[[{“value”:” Retrieval Augmented Generation (RAG) has become a crucial technique for improving the accuracy and relevance of AI-generated responses. The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based… Read More »Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock Mani Khanuja AWS Machine Learning Blog

​[[{“value”:” This post is co-written with  Lawrence Zorio III from Mark43. Public safety organizations face the challenge of accessing and analyzing vast amounts of data quickly while maintaining strict security protocols. First responders need immediate access to relevant data across multiple systems, while command staff… Read More »Embedding secure generative AI in mission-critical public safety applications Lawrence Zorio III AWS Machine Learning Blog

​[[{“value”:” Artificial intelligence (AI) models have made substantial progress over the last few years, but they continue to face critical challenges, particularly in reasoning tasks. Large language models are proficient at generating coherent text, but when it comes to complex reasoning or problem-solving, they often… Read More »DeepSeek Introduces DeepSeek-R1-Lite-Preview with Complete Reasoning Outputs Matching OpenAI o1 Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) are AI systems trained on vast amounts of text data, enabling them to understand, generate, and reason with natural language in highly capable and flexible ways. LLM training has seen remarkable advances in recent years, with organizations pushing the boundaries… Read More »How FP8 boosts LLM training by 18% on Amazon SageMaker P5 instances Romil Shah AWS Machine Learning Blog

​Recommender systems enhance user experiences in Internet-based applications by recommending items tailored to individual preferences or needs, such as products, services, or content. Recommender systems enhance user experiences in Internet-based applications by recommending items tailored to individual preferences or needs, such as products, services, or content.  Read… Read More »A Practical Guide to Building Recommender Systems Iván Palomares Carrascosa MachineLearningMastery.com

​[[{“value”:” Automated software engineering (ASE) has emerged as a transformative field, integrating artificial intelligence with software development processes to tackle debugging, feature enhancement, and maintenance challenges. ASE tools increasingly employ large language models (LLMs) to assist developers, enhancing efficiency and addressing the rising complexity of… Read More »Lingma SWE-GPT: Pioneering AI-Assisted Solutions for Software Development Challenges with Innovative Open-Source Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The proliferation of websites across various domains of everyday life has led to a significant rise in cybersecurity threats. The complexity and frequency of cyber-attacks have escalated dramatically, posing substantial risks to network infrastructure and digital systems. Unauthorized access attempts and intrusive actions have… Read More »Deep Learning Meets Cybersecurity: A Hybrid Approach to Detecting DDoS Attacks with Unmatched Accuracy Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large-sample hydrology is a critical field that addresses pressing global challenges, such as climate change, flood prediction, and water resource management. By leveraging vast datasets of hydrological and meteorological information across diverse regions, researchers develop models to predict water-related phenomena. This enables the creation… Read More »Google AI Research Introduces Caravan MultiMet: A Novel Extension to Caravan for Enhancing Hydrological Forecasting with Diverse Meteorological Data Nikhil Artificial Intelligence Category – MarkTechPost