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Retrieval Augmented Generation Applications by DeepLearning AI, LlamaIndex & TruEra [Free; Python]: Join Now!

Retrieval Augmented Generation Applications

Retrieval Augmented Generation Applications

Online applications are invited for the Building and Evaluating Advanced Retrieval Augmented Generation Applications by DeepLearning AI, LlamaIndex & TruEra.

DeepLearning AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. DeepLearning AI has created high-quality AI programs on Coursera that have gained an extensive global following. By providing a platform for education and fostering a tight-knit community, DeepLearning AI has become the pathway for anyone looking to build an AI career.

LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models.

TruEra’s AI Quality solutions explain, debug, and monitor machine learning models, leading to higher quality and trustworthiness, as well as faster deployment. Backed by years of pioneering research, TruEra works across the model lifecycle, is independent of model development platforms, and embeds easily into your existing AI stack.

Retrieval Augmented Generation (RAG) stands out as one of the most popular use cases of large language models (LLMs). This method facilitates the integration of an LLM with an organization’s proprietary data.

To successfully implement RAG, it is essential to enhance retrieval techniques for obtaining coherent contexts and employ effective evaluation metrics.

In this course, we’ll explore:

Anyone with basic Python knowledge is interested in how to effectively employ the latest methods in Retrieval Augmented Generation (RAG).

Interested candidates can directly join through this link.

Free for a limited time only!

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