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How Has Machine Learning Changed the Writing Industry?

How to Learn Machine Learning

In the past few years, you can easily see the application of this technology in different industries, including healthcare, retail, etc. There can be many reasons behind writer’s block; you might be unrested, have written hundreds of words worth of content on the same topic, have a short deadline, etc.

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How to scale chatbot development with Google Dialogflow and Snorkel Flow

Snorkel AI

Building these applications presents many challenges. DialogflowCX excels in enabling natural, multi-turn dialogues, allowing virtual agents to navigate various topics, conduct transactions, and provide consistent, around-the-clock service across numerous channels. His investigation produced this guide. What are your hours?

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How to scale chatbot development with Google Dialogflow and Snorkel Flow

Snorkel AI

Building these applications presents many challenges. DialogflowCX excels in enabling natural, multi-turn dialogues, allowing virtual agents to navigate various topics, conduct transactions, and provide consistent, around-the-clock service across numerous channels. His investigation produced this guide. What are your hours?

AI 59
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Zero-shot and few-shot prompting for the BloomZ 176B foundation model with the simplified Amazon SageMaker JumpStart SDK

AWS Machine Learning Blog

The BloomZ 176B model has been trained with a large amount of data, making to applicable for many general-purpose tasks. Sentence and sentiment classification Message: When the spaceship landed on Mars, the whole humanity was excited Topic: space ### Message: I love playing tennis and golf. I’m practicing twice a week.

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Build financial search applications using the Amazon Bedrock Cohere multilingual embedding model

AWS Machine Learning Blog

This enables applications such as semantic search, Retrieval Augmented Generation (RAG), topic modeling, and text classification. In this post, we showcase an application that can search and query across financial news in different languages using Cohere’s Embed and Rerank models with Amazon Bedrock.

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sense2vec reloaded: contextually-keyed word vectors

Explosion

Finally, we prepared an end-to-end named entity recognition use-case for the technique, to show sense2vec’s practical applications. Four years is a relatively short time on the scale of language change, but it’s easy to find examples of words, topics and entities that had very different associations in 2015. accuracy on the task.

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Meet the winners of the Research Rovers: AI Research Assistants for NASA Challenge

DrivenData Labs

Making a submission was a fairly significant undertaking, as it typically involved prototyping an application with back-end and front-end capabilities that could be used by a hypothetical researcher -- and we are grateful to everyone who participated! bge-small-en-v1.5 bge-small-en-v1.5 bge-small-en-v1.5

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