AWS Machine Learning Blog In today’s technological landscape, artificial intelligence (AI) and machine learning (ML) are becoming increasingly accessible, enabling builders of all skill levels to harness their power. As more companies adopt AI solutions, there’s a growing need to upskill both technical and non-technical teams in responsibly expanding AI usage. Getting hands-on experience is […]Continue reading

AWS Machine Learning Blog In the fast-paced world of customer service, efficiency and accuracy are paramount. After each call, contact center agents often spend up to a third of the total call time summarizing the customer conversation. Additionally, manual summarization can lead to inconsistencies in the style and level of detail due to varying interpretations […]Continue reading

Psychology Today: The Latest In the throes of relationship dynamics, the problem isn’t the problem; the partner is the problem. Go to Source 26/04/2024 – 21:03 /Steven Stosny, Ph.D. Twitter: @hoffeldtcom

Psychology Today: The Latest In science fiction, from “I Robot” to “Star Trek,” eventually, the question comes up: “Are robots people?” AI humanoid robots are coming. Are we ready? Go to Source 25/04/2024 – 21:03 /Jeffrey N Pickens Ph.D. Twitter: @hoffeldtcom

AWS Machine Learning Blog In Part 1 of this series, we presented a solution that used the Amazon Titan Multimodal Embeddings model to convert individual slides from a slide deck into embeddings. We stored the embeddings in a vector database and then used the Large Language-and-Vision Assistant (LLaVA 1.5-7b) model to generate text responses to […]Continue reading

AWS Machine Learning Blog In asset management, portfolio managers need to closely monitor companies in their investment universe to identify risks and opportunities, and guide investment decisions. Tracking direct events like earnings reports or credit downgrades is straightforward—you can set up alerts to notify managers of news containing company names. However, detecting second and third-order […]Continue reading

MIT News – Artificial intelligence In biomedicine, segmentation involves annotating pixels from an important structure in a medical image, like an organ or cell. Artificial intelligence models can help clinicians by highlighting pixels that may show signs of a certain disease or anomaly. However, these models typically only provide one answer, while the problem of […]Continue reading

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