Foundational vision models and visual prompt engineering for autonomous driving applications

Favorite Prompt engineering has become an essential skill for anyone working with large language models (LLMs) to generate high-quality and relevant texts. Although text prompt engineering has been widely discussed, visual prompt engineering is an emerging field that requires attention. Visual prompts can include bounding boxes or masks that guide

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Shared by AWS Machine Learning November 16, 2023

Principal Financial Group uses AWS Post Call Analytics solution to extract omnichannel customer insights

Favorite An established financial services firm with over 140 years in business, Principal is a global investment management leader and serves more than 62 million customers around the world. Principal is conducting enterprise-scale near-real-time analytics to deliver a seamless and hyper-personalized omnichannel customer experience on their mission to make financial

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Shared by AWS Machine Learning November 16, 2023

Best prompting practices for using the Llama 2 Chat LLM through Amazon SageMaker JumpStart

Favorite Llama 2 stands at the forefront of AI innovation, embodying an advanced auto-regressive language model developed on a sophisticated transformer foundation. It’s tailored to address a multitude of applications in both the commercial and research domains with English as the primary linguistic concentration. Its model parameters scale from an

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Shared by AWS Machine Learning November 16, 2023

Harness large language models in fake news detection

Favorite Fake news, defined as news that conveys or incorporates false, fabricated, or deliberately misleading information, has been around as early as the emergence of the printing press. The rapid spread of fake news and disinformation online is not only deceiving to the public, but can also have a profound

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Shared by AWS Machine Learning November 15, 2023

Flag harmful content using Amazon Comprehend toxicity detection

Favorite Online communities are driving user engagement across industries like gaming, social media, ecommerce, dating, and e-learning. Members of these online communities trust platform owners to provide a safe and inclusive environment where they can freely consume content and contribute. Content moderators are often employed to review user-generated content and

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Shared by AWS Machine Learning November 15, 2023