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AI News Weekly - Issue #380: 63% of IT and security pros believe AI will improve corporate cybersecurity - Apr 11th 2024

AI Weekly

And this is particularly true for accounts payable (AP) programs, where AI, coupled with advancements in deep learning, computer vision and natural language processing (NLP), is helping drive increased efficiency, accuracy and cost savings for businesses. Answering them, he explained, requires an interdisciplinary approach.

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The AI Feedback Loop: Maintaining Model Production Quality In The Age Of AI-Generated Content

Unite.AI

For instance, many blogs today feature AI-generated text powered by LLMs (Large Language Modules) like ChatGPT or GPT-4. Many data sources contain AI-generated images created using DALL-E2 or Midjourney. Moreover, AI researchers are using synthetic data generated using Generative AI in their model training pipelines.

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Deliver your first ML use case in 8–12 weeks

AWS Machine Learning Blog

Improve model accuracy: In-depth feature engineering (example, PCA) Hyperparameter optimization (HPO) Quality assurance and validation with test data. Monitoring setup (model, data drift). Data Engineering Explore using feature store for future ML use cases. He has a background in software engineering and AI research.

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Creating An Information Edge With Conversational Access To Data

Topbots

If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be alerted when we release new material. Data Any machine learning endeavour starts with data, so we will start by clarifying the structure of the input and target data that are used during training and prediction.