Tag: Rags

Relevance and Scoring Mechanisms for RAGs


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Released 9/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 32m | Size: 115 MB
Master ranking algorithms and advanced scoring with Python. This course covers BM25, BERT, semantic similarity, and ensemble methods, focusing on effective document retrieval, evaluation, and optimization for sophisticated search systems.

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Federated Learning and Privacy-preserving RAGs


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Published 9/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 48 KHz
Language: English | Size: 31.15 MB | Duration: 16m 1s
Learn federated learning and privacy-preserving techniques. This course will teach you how to architect AI solutions while ensuring data privacy in Retrieval-Augmented Generation (RAG) systems.

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Integrating Knowledge Bases for RAGs


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Published 8/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 48 KHz
Language: English | Size: 74.71 MB | Duration: 22m 53s
Discover the power of integrating knowledge bases with retrieval augmented generation (RAG) models. This course will teach you how to align unstructured text data with structured knowledge bases and incorporate external data sources.

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Vector Space Models and Embeddings in RAGs


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Published 6/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 48 KHz
Language: English | Size: 74.19 MB | Duration: 15m 29s
Discover the power of Retrieval-Augmented Generation (RAG) in modern NLP applications. This course will teach you how to implement a RAG-based chatbot using Python and TensorFlow, focusing on text embeddings and retrieval techniques.

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Multi-modal RAGs


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Published 6/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 48 KHz
Language: English | Size: 64.96 MB | Duration: 23m 48s
Learn effective ways to build a RAG system. This course will teach techniques for retrieving and integrating information from multiple modalities, such as text, images, and videos in RAG systems.

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Modular RAGs


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Published 6/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 48 KHz
Language: English | Size: 68.56 MB | Duration: 16m 52s
Unlock the power of modular RAG architectures. This course will teach you to decompose RAG models into independent modules, implement flexible and reusable designs, and evaluate their performance, scalability, and maintainability for optimal results.

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