Favorite The financial and banking industry can significantly enhance investment research by integrating generative AI into daily tasks like financial statement analysis. By taking advantage of advanced natural language processing (NLP) capabilities and data analysis techniques, you can streamline common tasks like these in the financial industry: Automating data extraction

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Shared by AWS Machine Learning November 13, 2024

Favorite Live streaming has been gaining immense popularity in recent years, attracting an ever-growing number of viewers and content creators across various platforms. From gaming and entertainment to education and corporate events, live streams have become a powerful medium for real-time engagement and content consumption. However, as the reach of

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Shared by AWS Machine Learning November 13, 2024

Favorite You can now register machine learning (ML) models in Amazon SageMaker Model Registry with Amazon SageMaker Model Cards, making it straightforward to manage governance information for specific model versions directly in SageMaker Model Registry in just a few clicks. Model cards are an essential component for registered ML models,

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Shared by AWS Machine Learning November 13, 2024

Favorite Creative content plays a crucial role in marketing, and personalized creative content in particular significantly boosts marketing performance. Generating personalized content can present a significant challenge for marketers because it requires considerable time and resources. This challenge stems from the need for multiple versions of creative content across various

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Shared by AWS Machine Learning November 12, 2024

Favorite In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt. The results are similar to fine-tuning LLMs without the

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Shared by AWS Machine Learning November 12, 2024

Favorite This post is co-written with Etzik Bega from Agmatix. Agmatix is an Agtech company pioneering data-driven solutions for the agriculture industry that harnesses advanced AI technologies, including generative AI, to expedite R&D processes, enhance crop yields, and advance sustainable agriculture. Focused on addressing the challenge of agricultural data standardization,

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Shared by AWS Machine Learning November 12, 2024

Favorite Microsoft Teams is an enterprise collaboration tool that allows you to build a unified workspace for real-time collaboration and communication, meetings, and file and application sharing. You can exchange and store valuable organizational knowledge within Microsoft Teams. Microsoft Teams data is often siloed across different teams, channels, and chats,

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Shared by AWS Machine Learning November 11, 2024

Favorite Generative AI models have seen tremendous growth, offering cutting-edge solutions for text generation, summarization, code generation, and question answering. Despite their versatility, these models often struggle when applied to niche or domain-specific tasks because their pre-training is typically based on large, generalized datasets. To address these gaps and maximize

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Shared by AWS Machine Learning November 11, 2024

Favorite Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. AI agents, powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses. In this post, we guide you through integrating

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Shared by AWS Machine Learning November 7, 2024

Favorite While organizations continue to discover the powerful applications of generative AI, adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle. In the first part of the series, we showed

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Shared by AWS Machine Learning November 7, 2024