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Prioritizing employee well-being: An innovative approach with generative AI and Amazon SageMaker Canvas

AWS Machine Learning Blog

To find the relationship between a numeric variable (like age or income) and a categorical variable (like gender or education level), we first assign numeric values to the categories in a way that allows them to best predict the numeric variable. Linear categorical to categorical correlation is not supported.

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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning Blog

Through a runtime process that includes preprocessing and postprocessing steps, the agent categorizes the user’s input. At this stage, the agent employs guardrails to make sure it stays within its defined scope and capabilities. It contains information from car manuals and technical documentation.

DevOps 126
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Maximizing SaaS application analytics value with AI

IBM Journey to AI blog

NLP protocols will auto-categorize user-generated content (such as customer reviews and support tickets), summarize the data and offer insights into the features that keep customers returning to the app. AI can even use NLP to suggest new tests, algorithms, lines of code or entirely new app functions to increase retention.

DevOps 236
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This AI Research Unveils ‘Kandinsky1’: A New Approach in Latent Diffusion Text-to-Image Generation with Outstanding FID Scores on COCO-30K

Marktechpost

These diffusion models, categorized as pixel-level and latent-level, excel in image generation, surpassing GANs in fidelity and diversity. Their method provides a user-friendly demo system supporting diverse generative modes and releases the model’s source code and checkpoints.

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Legal NLP Releases Law Stack Exchange Classifier, Subpoena NER and more

John Snow Labs

setOutputCol("class") ) With the model, questions can be categorized. For example, the following text is categorized by the model as belonging to the copyright category. Don’t forget to check our notebooks and demos. setInputCols(["document", "token"]).setOutputCol("class")

NLP 98
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ZebraLogic: A Logical Reasoning AI Benchmark Designed for Evaluating LLMs with Logic Puzzles

Marktechpost

The 1,000 puzzles are categorized into easy and hard subsets based on size. A demo on HuggingFace allows for the exploration of the data and leaderboard. For NxM puzzles, cell-wise accuracy measures the proportion of correctly filled cells out of NxM total cells. Puzzle-level success requires all cells to be correct.

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OWLSAM2: A Revolutionary Advancement in Zero-Shot Object Detection and Mask Generation by Combining OWLv2 with SAM2

Marktechpost

This model leverages large-scale language-image pre-training, enabling it to recognize and categorize objects based on textual descriptions alone. Check out the Demo here. OWLv2, known for its exceptional zero-shot object detection abilities, is designed to identify objects in images without prior training on specific datasets.