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Generative vs Discriminative AI: Understanding the 5 Key Differences

Data Science Dojo

Duplex leverages sophisticated machine learning algorithms to understand natural language, navigate complex conversations, and perform tasks autonomously, mimicking human-like interactions seamlessly.

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NLP-Powered Data Extraction for SLRs and Meta-Analyses

Towards AI

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

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From Rulesets to Transformers: A Journey Through the Evolution of SOTA in NLP

Mlearning.ai

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. Evolution of NLP Models To understand the full impact of the above evolutionary process.

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AI Distillery (Part 1): A bird’s eye view of AI research

ML Review

Modern natural language processing has yielded tools to conduct these types of exploratory search, we just need to apply them to the data from valuable sources, such as ArXiv. In 2018, over 1000 papers have been released on ArXiv per month in the above areas. Every month except January.

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Computer Vision and Deep Learning for Healthcare

PyImageSearch

Health startups and tech companies aiming to integrate AI technologies account for a large proportion of AI-specific investments, accounting for up to $2 billion in 2018 ( Figure 1 ). These investments range from digital diagnosis to clinician decision support to precision medicine. Diabetic Retinopathy, see Figure 9 ).