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Enhancing customer experience: Streamlining orders with custom email notifications in IBM Cloud

IBM Journey to AI blog

This approach eliminated the need for customers to constantly monitor the business’s website or social media channels for updates. Instead, customers received timely email notifications, allowing them to place orders instantly via this convenient channel. Gone were the days of waiting for updates to be posted online.

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Explosion in 2022: Our Year in Review

Explosion

We’ve published several technical blog posts and reports, and created a bunch of new videos covering many tips and tricks to get the most out of our developer tools. Edi, Lj and team have written a comprehensive blog post covering full details of the spancat implementation as well as an architecture case study on nested NER.

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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

Effective brand reputation management: Social media platforms are powerful channels where customers express opinions en masse. Learn more about IBM Watson Assistant The post Leveraging user-generated social media content with text-mining examples appeared first on IBM Blog.

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Cryptography use cases: From secure communication to data security 

IBM Journey to AI blog

Private keys might be shared either through a previously established trusted communication channel (such as a private courier or secured line) or, more practically, a secure key exchange method (such as the Diffie-Hellman key agreement ). For these types of systems to work, each user must already have access to the same private key.

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Fine-tune Llama 2 for text generation on Amazon SageMaker JumpStart

AWS Machine Learning Blog

validation_split_ratio – If validation channel is none , ratio of train-validation split from the train data must be between 0–1. If set to a positive value, max_input_length is set to the minimum of the provided value and the model_max_length defined by the tokenizer. Must be a positive integer or -1. Default is -1. Default is 0.2.

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Containerization of Machine Learning Applications

Heartbeat

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Multi-Modal Methods: Visual Speech Recognition (Lip Reading)

ML Review

Some common features used were the width-height ratio of a bounding box for detecting mouths, the appearance of the tongue (pixel intensity in the red channel of the image) and an approximation of the amount of teeth from the ‘whiteness’ in the image [12]. Deep Learning est en train de mourir. Online] Sebastian Ruder Blog (ruder.io).