​[[{“value”:” Large language models (LLMs) are widely implemented in sociotechnical systems like healthcare and education. However, these models often encode societal norms from the data used during training, raising concerns about how well they align with expectations of privacy and ethical behavior. The central challenge… Read More »LLM-CI: A New Machine Learning Framework to Assess Privacy Norms Encoded in LLMs Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Managing cloud costs and understanding resource usage can be a daunting task, especially for organizations with complex AWS deployments. AWS Cost and Usage Reports (AWS CUR) provides valuable data insights, but interpreting and querying the raw data can be challenging. In this post, we… Read More »Unlock AWS Cost and Usage insights with generative AI powered by Amazon Bedrock Anutosh AWS Machine Learning Blog

​[[{“value”:” Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In industries like insurance, where unpredictable scenarios are the norm, traditional automation falls short, leading to inefficiencies and missed opportunities. With the power of intelligent agents, you can simplify… Read More »Streamline workflow orchestration of a system of enterprise APIs using chaining with Amazon Bedrock Agents Piyali Kamra AWS Machine Learning Blog

​[[{“value”:” Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and confidently build, train, and deploy ML models into a production-ready hosted environment. SageMaker provides a broad selection of ML infrastructure and model deployment options to… Read More »Build ultra-low latency multimodal generative AI applications using sticky session routing in Amazon Harish Rao AWS Machine Learning Blog

​[[{“value”:” Google has introduced a groundbreaking innovation called DataGemma, designed to tackle one of modern artificial intelligence’s most significant problems: hallucinations in large language models (LLMs). Hallucinations occur when AI confidently generates information that is either incorrect or fabricated. These inaccuracies can undermine AI’s utility,… Read More »Google AI Introduces DataGemma: A Set of Open Models that Utilize Data Commons through Retrieval Interleaved Generation (RIG) and Retrieval Augmented Generation (RAG) Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Hume AI has announced the release of Empathic Voice Interface 2 (EVI 2), a major upgrade to its groundbreaking voice-language foundation model. EVI 2 represents a leap forward in natural language processing and emotional intelligence, offering enhanced capabilities for developers looking to create more… Read More »Hume AI Introduces Empathic Voice Interface 2 (EVI 2): New Foundational Voice-to-Voice Model Transforming Human-Like Conversations with Advanced Emotional Intelligence Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Privacy in machine learning is critical, especially when models are trained on sensitive data. Differential privacy (DP) offers a framework to protect individual privacy by ensuring that the inclusion or exclusion of any data point doesn’t significantly affect a model’s output. A key technique… Read More »DPAdapter: A New Technique Designed to Amplify the Model Performance of Differentially Private Machine Learning DPML Algorithms by Enhancing Parameter Robustness Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Multiobjective optimization (MOO) is pivotal in machine learning, enabling researchers to balance multiple conflicting objectives in real-world applications. These applications include robotics, fair classification, and recommendation systems. In such fields, it is crucial to address the trade-offs between performance metrics, such as speed versus… Read More »LibMOON: A Gradient-Based Multiobjective Optimization Library for Large-Scale Machine Learning Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Predicting At-Risk University Students Using a Machine Learning Algorithm:University education plays a critical role in societal progress, making it essential for students to succeed in their courses and graduate on time. However, many students face academic challenges that lead to course failure, depression, or… Read More »Efficient Prediction of At-Risk University Students Using Reduced Training Vector-Based SVM (RTV-SVM) Sana Hassan Artificial Intelligence Category – MarkTechPost