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LLM-Powered Metadata Extraction Algorithm

Towards AI

The evolution of Large Language Models (LLMs) allowed for the next level of understanding and information extraction that classical NLP algorithms struggle with. This article will focus on LLM capabilities to extract meaningful metadata from product reviews, specifically using OpenAI API.

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Stanford Researchers Introduce OctoTools: A Training-Free Open-Source Agentic AI Framework Designed to Tackle Complex Reasoning Across Diverse Domains

Marktechpost

Unlike previous frameworks that require predefined tool configurations, OctoTools introduces tool cards, which encapsulate tool functionalities and metadata. The planner first analyzes the user query and determines the appropriate tools based on metadata associated with each tool card. in medical question answering.

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A Delicate Balance: Protecting Privacy While Ensuring Public Safety Through Edge AI

Unite.AI

These applications leverage AI tasks such as object detection, segmentation, video metadata and re-identification to rapidly and accurately identify legitimate vs. suspicious or abnormal people or behavior and trigger responses in real time. The most common AI use cases in surveillance systems include perimeter protection and access control.

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Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra

AWS Machine Learning Blog

Enterprises may want to add custom metadata like document types (W-2 forms or paystubs), various entity types such as names, organization, and address, in addition to the standard metadata like file type, date created, or size to extend the intelligent search while ingesting the documents.

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How to establish lineage transparency for your machine learning initiatives

IBM Journey to AI blog

From predicting customer behavior to optimizing business processes, ML algorithms are increasingly being used to make decisions that impact business outcomes. Have you ever wondered how these algorithms arrive at their conclusions? Executives evaluating decisions made by ML algorithms need to have faith in the conclusions they produce.

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A Survey of Advanced Retrieval Algorithms in Ad and Content Recommendation Systems: Mechanisms and Challenges

Marktechpost

Researchers from the University of Toronto present an insightful examination of the advanced algorithms used in modern ad and content recommendation systems. This survey examines these systems’ most effective retrieval algorithms, highlighting their underlying mechanisms and challenges.

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Text-to-Music Generative AI : Stability Audio, Google’s MusicLM and More

Unite.AI

Initially, the attempts were simple and intuitive, with basic algorithms creating monotonous tunes. These deep-learning algorithms dissect individual preferences based on various musical elements such as tempo and mood to craft personalized song suggestions. Creating music using artificial intelligence began several decades ago.