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Create a chatbot application, utilizing Knowledge Bases, for Amazon Bedrock that’s equipped to handle context-based interactions.

Amazon Bedrock, Amazon Machine Learning, Amazon OpenSearch Service, Artificial Intelligence, Generative AI, Intermediate (200), UncategorizedMarch 7, 202442Views0Likes0Comments
Modern chatbots are revolutionizing the customer service sector by providing 24/7 support in multiple languages. Their ability to handle concurrent inquiries in real time, provide relevant data-driven insights, and scale effortlessly make them a cost-effective solution for customer engagement. These benefits are magnified when chatbots are integrated with internal knowledge bases and large language models…

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Strategies and methods for overseeing extensive language models on AWS.

Advanced (300), Amazon Bedrock, Amazon CloudWatch, Amazon Machine Learning, AWS Lambda, Generative AI, UncategorizedMarch 7, 202438Views0Likes0Comments
Large Language Models (LLMs) have significantly impacted various functions in the field of Natural Language Processing (NLP), such as language translation, text summarization, and sentiment analysis. Despite these advantages, monitoring LLM's performance and behavior has become increasingly challenging due to their growing size and complexity. Therefore, it is necessary to implement an effective and scalable…

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How Axfood utilizes Amazon SageMaker to boost machine learning across the company.

Amazon Machine Learning, Amazon SageMaker, Amazon SageMaker Studio, Architecture, Artificial Intelligence, CPG, Customer Solutions, UncategorizedMarch 7, 202450Views0Likes0Comments
Axfood, Sweden's second-largest food retailer, has succeeded in improving the efficiency and scalability of their AI and machine learning operations with the help of Amazon Web Services (AWS) experts using Amazon SageMaker. Despite having numerous data science teams with their own ways of working, the organization saw the need for a new Machine Learning Operations…

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