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Efficient scalability and distributed training using the Model Parallel and Data Parallel Libraries of Amazon SageMaker.

Amazon Machine Learning, Amazon SageMaker, Intermediate (200), UncategorizedApril 17, 202432Views0Likes0Comments
Distributed deep learning for extensive language models (LLMs) continues to make considerable advancements, primarily since the unveiling of ChatGPT in 2022. These models continue to grow with billions or trillions of parameters, which often cannot fit within a single acceleration device or node due to memory constraints. Hence, customers must distribute their workloads across hundreds…

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Efficient document categorization employing the Amazon Titan Multimodal Embeddings Model.

Advanced (300), Amazon Bedrock, Amazon Machine Learning, Amazon Titan, Generative AI, Technical How-to, UncategorizedApril 12, 202440Views0Likes0Comments
Businesses can automate the processing of vast quantities of various document formats using intelligent document processing (IDP) solutions powered by AI. These solutions categorize and extract insights from documents, reducing costs and errors and allowing for scalability. A significant aspect of IDP systems is document categorization, which guides the next steps based on the document…

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Optimize your Amazon Titan Image Generator G1 model through the customization provided by Amazon Bedrock.

Amazon Bedrock, Amazon Machine Learning, Artificial Intelligence, Technical How-to, UncategorizedApril 3, 202441Views0Likes0Comments
Amazon has introduced the Titan Image Generator G1, a cutting-edge text-to-image model available through Amazon Bedrock. This model can interpret prompts describing multiple objects within different contexts and reflects these details in the images generated. It also provides advanced image editing options such as smart cropping, in-painting, and background changes. Currently, the service is available…

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Effective ongoing pre-training of large language models for financial sectors.

Amazon Machine Learning, Financial Services, Generative AI, UncategorizedApril 3, 202439Views0Likes0Comments
Large language models (LLMs), like Meta's Llama and Amazon's Pythia, are generally trained on broad, domain-agnostic datasets. However, recent research indicates that incorporating domain-specific datasets into the training process can significantly enhance LLM performance. This principle was demonstrated by incorporating 51% domain-specific financial documents into the training data of the BloombergGPT model, which outperformed traditional…

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Offer real-time support to your chatbot users using Amazon Lex and Talkdesk’s cloud-based contact center.

Advanced (300), Amazon Lex, Amazon Machine Learning, AWS Partner Network, Technical How-to, UncategorizedApril 3, 202448Views0Likes0Comments
Amazon Lex enables advanced conversational artificial intelligence (AI) capabilities to allow self-service support in an organization's contact center. With Amazon Lex, customers can interact through phone calls, websites, and messaging platforms. The bots integrated with Amazon Lex can answer frequently asked questions (FAQs), provide self-service experiences or screen customer requests before transferring them to a…

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Using FedML on AWS for federated learning, along with Amazon SageMaker and Amazon EKS.

Advanced (300), Amazon Elastic Kubernetes Service, Amazon Machine Learning, Amazon SageMaker, UncategorizedMarch 16, 202440Views0Likes0Comments
Many organizations are using machine learning (ML) to enhance their business decision-making processes through automation and by leveraging large distributed datasets. However, the sharing of raw, sensitive data in different locations brings about significant security and privacy risks. To combat these issues, federated learning (FL), a decentralized and collaborative ML training technique, is used. Traditional…

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Utilize AWS AI services and LLMs for managing and controlling audio and text conversations.

Advanced (300), Amazon Bedrock, Amazon Comprehend, Amazon Machine Learning, Amazon Transcribe, UncategorizedMarch 14, 202439Views0Likes0Comments
This article focuses on the issue of moderating content on online platforms, such as games and social communities, to prevent hate speech, cyberbullying, harassment, and scams, and presents a solution using various services provided by Amazon Web Services (AWS). Social platforms need a moderation solution that is easy to initiate, customisable, and considers factors like latency…

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