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Accelerate release lifecycle with pathway to deploy: Part 2

IBM Journey to AI blog

Given enterprise complexity, the most difficult part of this stage is the automation of testing capabilities (wherein test data preparation and execution of test cases across multiple systems is mostly semi-automated). This results in trust, efficiency and accuracy in reviews.

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Deep Learning for NLP: Word2Vec, Doc2Vec, and Top2Vec Demystified

Mlearning.ai

CBOW Architecture The CBOW architecture predicts the centre word based on the surrounding context words. The context words are the input to the neural network, and the centre word is the output. The input layer represents the encoded context words, and the output layer represents the encoded centre word. CBOW Architecture.

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ACL 2022 Highlights

Sebastian Ruder

They also made practical suggestions to encourage more work on such languages: creating data resources; establishing a conference track for work on low-resource and endangered languages; and encouraging researchers to apply their systems to low-resource language data. The KinyaBERT model architecture. Both CANINE ( Clark et al. )

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The Ascent of ChatGPT

ODSC - Open Data Science

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. For example, Seek AI , a developer of AI-powered intelligent data solutions, announced it has raised $7.5

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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning Blog

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

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Enhancing LangChain Agents with Custom Tools

Heartbeat

You can define tools that perform complex calculations, interact with external APIs, manipulate data uniquely, or integrate with other systems. You can define tools that interact with external APIs, databases, or other software components to exchange data or perform actions. For example, suppose you are working in the finance industry.

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