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Is Artificial Intelligence relevant to insurance?

IBM Journey to AI blog

In this first of two posts, I investigate the anatomy of artificial intelligence and its impact on insurance. The fascination of artificial intelligence History has shown that the human preoccupation with creating a machine which replicates human thinking had in fact been simmering for centuries.

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Unifying Neural Network Design with Category Theory: A Comprehensive Framework for Deep Learning Architecture

Marktechpost

The researchers from Symbolic AI, the University of Edinburgh, Google DeepMind, and the University of Cambridge introduce a theoretical framework that unites the specification of constraints with their implementations through monads valued in a 2-category of parametric maps. Check out the Paper.

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Top 10 Open-Source LLMs for 2024 and Their Uses

Analytics Vidhya

Introduction Large language models (LLMs) represent a category of artificial intelligence (AI) trained on extensive datasets of text. This training enables them to excel in tasks such as text generation, language translation, creative content creation across various genres, and providing informative responses to queries.

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Artificial Intelligence in University Classes and Professors’ Perspectives

Flipboard

In the ever-evolving landscape of education, artificial intelligence (AI) is becoming increasingly prevalent in university classrooms. Ajay Parasram, a professor at Dalhousie University in Halifax, falls into the latter category. While some professors embrace AI as a valuable tool for research projects, others are more cautious.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Google AI Proposes USER-LLM: A Novel Artificial Intelligence Framework that Leverages User Embeddings to Contextualize LLMs

Marktechpost

Compared to baselines including Dual Encoder and Bert4Rec, USER-LLM demonstrated superior performance across tasks like next item prediction, favorite genre/category prediction, and multimodal review generation. These datasets feature diverse interaction features such as movie names, genres, ratings, and reviews.

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Researchers from Microsoft Research and Tsinghua University Proposed Skeleton-of-Thought (SoT): A New Artificial Intelligence Approach to Accelerate Generation of LLMs

Marktechpost

To evaluate the effectiveness of SoT, the research team conducted extensive tests on 12 recently released models, spanning both open-source and API-based categories. Remarkably, this approach is applicable to open-source models like LLaMA and API-based models such as GPT-4, showcasing its versatility. Check out the Paper and Github.