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Exploring the Use of LLMs and BERT for Language Tasks

Analytics Vidhya

Introduction In the rapidly evolving landscape of artificial intelligence, especially in NLP, large language models (LLMs) have swiftly transformed interactions with technology. Since the groundbreaking ‘Attention is all you need’ paper in 2017, the Transformer architecture, notably exemplified by ChatGPT, has become pivotal.

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Beginners’ Guide to Finetuning Large Language Models (LLMs)

Analytics Vidhya

The seismic impact of finetuning large language models has utterly transformed NLP, revolutionizing our technological interactions. Rewind to 2017, a pivotal moment marked by […] The post Beginners’ Guide to Finetuning Large Language Models (LLMs) appeared first on Analytics Vidhya.

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Fertility care provider Ovum Health gives patients information using chat and scheduling tools with IBM watsonx Assistant

IBM Big Data Hub

With over 67,000 registered FertilityAnswers iOS and Android users on Ovum Health’s free question-and-answer platform, the bot can interact with patients at scale while maintaining the care and empathy of a healthcare professional.

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Notes on artificial intelligence, December 2017

DMBS2

Voice interaction is already revolutionary in certain niches (e.g. The most advanced organizations developing and using those rely on machine learning. I don’t see an important distinction between machine learning and “artificial intelligence” in this area. smartphones — Siri et al.).

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Microsoft signs $2.8B cloud deal with London Stock Exchange Group

CIO Business Intelligence

Microsoft CEO Satya Nadella also welcomed the announcement, saying in a press release that “advances in the cloud and AI will fundamentally transform how financial institutions research, interact, and transact across asset classes, and adapt to changing market conditions.

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Challenges in replacing SSRS with Microsoft Power BI

BizAcuity

It allows users to interact with information without involving any IT professionals. However, migration from SSRS 2017 has some issues with the PBI RS server. The SSRS configuration manager forgot to run a script that updates the SSRS 2017 ReportServer database so that it can actually work with the Power BI objects.