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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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Best AI Lip Sync Generators (Paid) in 2024: A comprehensive guide

Pragnakalp

Here is the demo video: 2. Here is the demo video: 3. Here is the demo video: 4. There are plenty of voices available, categorized by age, scenarios, language, and gender, among others. Here is the demo video: 5. Here is the demo video: 6. They do not look natural.

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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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Announcing the ODSC East 2023 Preliminary Schedule

ODSC - Open Data Science

Finally, Tuesday is the first day of the AI Expo and Demo Hall , where you can connect with our conference partners and check out the latest developments and research from leading tech companies. This will also be the last day to connect with our partners in the AI Expo and Demo Hall.

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The future of customer experience management with Level AI’s Generative AI-powered Voice of the Customer Insights

LevelAI

It then automatically identifies broad topics and finer subtopics to categorize the conversations. Her dashboard shows that conversations categorized as “packaging issues” have increased by 30% over the previous week. A large number of conversations over the past week were categorized as “water damage”. Get a free demo today!

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Churn prediction using multimodality of text and tabular features with Amazon SageMaker Jumpstart

AWS Machine Learning Blog

In addition to textual inputs, this model uses traditional structured data inputs such as numerical and categorical fields. We show you how to train, deploy and use a churn prediction model that has processed numerical, categorical, and textual features to make its prediction. For more details, refer to the GitHub repo.

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The Future of VoC Programs: Insights & Predictions for 2024 and Beyond with Forrester

LevelAI

Actionable Insights for Business Teams : VoC Insights identifies the root cause of issues by generating specific actionable customer concerns and multi-level topic categorization for every interaction. Get a free demo today! REQUEST DEMO Here are a few examples of VoC in action across different industries and environments.