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Speedier LLMs through theoretical deciphering and AWS Inferentia2.

AI/ML, Amazon Machine Learning, Artificial Intelligence, AWS Inferentia, Generative AI, Machine learning, Technical How-to, UncategorizedAugust 6, 202436Views0Likes0Comments
Large language models (LLMs), used to solve natural language processing (NLP) tasks, have seen a significant increase in their size. This increase dramatically improves the model's performance, with larger models scoring better on tasks such as reading comprehension. However, these larger models require more computation and are more costly to deploy. The role of larger models…

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Develop a comprehensive RAG solution utilizing Knowledge Databases for Amazon Bedrock and AWS CloudFormation.

Advanced (300), Amazon Bedrock, Amazon Machine Learning, Amazon Titan, AWS CloudFormation, Generative AI, Integration & Automation, Technical How-to, UncategorizedAugust 6, 202433Views0Likes0Comments
Retrieval Augmented Generation (RAG) is a cutting-edge method for constructing question answering systems, blending retrieval and foundation model capabilities. This unique approach first draws relevant data from a large body of text, using a foundation model to forge an answer from the collated information. Setting up an RAG system entails several elements such as a…

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Implement efficient insurance underwriting with generative AI through Amazon Bedrock – Segment 1

Amazon Machine Learning, UncategorizedAugust 2, 202428Views0Likes0Comments
The insurance industry's underwriting process involves several crucial steps, including gathering and verifying information about the applicant, assessing risk, determining premiums, customizing policies, and making final decisions. However, challenges in document understanding can hinder the process, leading to inefficient rule validation, inconsistent adherence to underwriting guidelines, and unclear decision justification. To address such challenges, insurers…

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Enhancing the performance of Salesforce Einstein’s code generation model using Amazon SageMaker

Amazon Machine Learning, Amazon SageMaker, Amazon SageMaker JumpStart, Customer Solutions, Experience-Based Acceleration, Generative AI, UncategorizedJuly 25, 202432Views0Likes0Comments
This is a joint collaboration post between Salesforce and AWS, in which they discuss how the Salesforce Einstein AI Platform team has utilized Amazon SageMaker to enhance the efficiency and performance of their code generation LLM (Large Language Models) features, known as CodeGen. Salesforce, a cloud-based software company, offers customer relationship management (CRM) software applications focused…

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How Mixbook employed generative AI to provide customized photobook experiences.

Amazon Machine Learning, Artificial Intelligence, Customer Solutions, Generative AI, UncategorizedJuly 16, 202438Views0Likes0Comments
Mixbook, the number one rated photo book service in the US, has harnessed the capabilities of generative artificial intelligence (AI) in Amazon Web Services (AWS) to make personalized photo book experiences. User photos are interpreted and creatively enhanced with Mixbook Smart Captions. The service does not fully automate the creative process, but guides the users'…

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