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Unlock the potential of generative AI in industrial operations

AWS Machine Learning Blog

Agents like PandasAI come into play, running this code on high-resolution time series data and handling errors using FMs. However, complex NLQs, such as time series data processing, multi-level aggregation, and pivot or joint table operations, may yield inconsistent Python script accuracy with a zero-shot prompt.

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Efficient continual pre-training LLMs for financial domains

AWS Machine Learning Blog

Although the resulting models yield amazingly good results for general tasks, such as text generation and entity recognition, there is evidence that models trained with domain-specific datasets can further improve LLM performance. This saves the effort required to maintain a stack of models for related but distinct tasks.

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Dialogue-guided intelligent document processing with foundation models on Amazon SageMaker JumpStart

AWS Machine Learning Blog

Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. These models are trained on massive amounts of data and consist of billions of parameters, allowing them to perform various language-related tasks with high accuracy.

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning Blog

Performance – The platform must deliver high-performance computing capabilities to efficiently process complex AI/ML algorithms. AI ToolSuite’s high availability should include load balancing, fault-tolerant architectures, and proactive monitoring.