Tag: Embeddings

Vector Space Models and Embeddings in RAGs


Free Download Vector Space Models and Embeddings in RAGs
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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Vector Databases & Embeddings for Developers


Free Download Vector Databases & Embeddings for Developers
Published 3/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 48 KHz
Language: English | Size: 99.45 MB | Duration: 31m 23s
Dive into the world of advanced data handling with vector databases and embeddings. This course will teach you how to efficiently index, retrieve, and manage complex data types enhancing your development skills for modern applications.

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Embeddings in manifolds


Free Download Embeddings in manifolds By Robert J. Daverman and Gerard A. Venema
2009 | 496 Pages | ISBN: 0821836978 | PDF | 9 MB
A topological embedding is a homeomorphism of one space onto a subspace of another. The book analyzes how and when objects like polyhedra or manifolds embed in a given higher-dimensional manifold. The main problem is to determine when two topological embeddings of the same object are equivalent in the sense of differing only by a homeomorphism of the ambient manifold. Knot theory is the special case of spheres smoothly embedded in spheres; in this book, much more general spaces and much more general embeddings are considered. A key aspect of the main problem is taming: when is a topological embedding of a polyhedron equivalent to a piecewise linear embedding? A central theme of the book is the fundamental role played by local homotopy properties of the complement in answering this taming question. The book begins with a fresh description of the various classic examples of wild embeddings (i.e., embeddings inequivalent to piecewise linear embeddings). Engulfing, the fundamental tool of the subject, is developed next. After that, the study of embeddings is organized by codimension (the difference between the ambient dimension and the dimension of the embedded space). In all codimensions greater than two, topological embeddings of compacta are approximated by nicer embeddings, nice embeddings of polyhedra are tamed, topological embeddings of polyhedra are approximated by piecewise linear embeddings, and piecewise linear embeddings are locally unknotted. Complete details of the codimension-three proofs, including the requisite piecewise linear tools, are provided. The treatment of codimension-two embeddings includes a self-contained, elementary exposition of the algebraic invariants needed to construct counterexamples to the approximation and existence of embeddings. The treatment of codimension-one embeddings includes the locally flat approximation theorem for manifolds as well as the characterization of local flatness in terms of local homotopy properties

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OpenAI API – Embeddings


Free Download OpenAI API – Embeddings
Released 1/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 28m | Size: 73 MB
Embeddings enable a wide range of natural language processing (NLP) and machine learning capabilities by transforming text into a format that machines can understand. In this course, join instructor Kesha Williams as she covers the basics of embeddings and their practical applications in text classification, clustering, semantic search, and more, with hands-on coding examples along the way.

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Quick Guide to ChatGPT, Embeddings and Other Large Language Models (LLMs)


Free Download Quick Guide to ChatGPT, Embeddings and Other Large Language Models (LLMs)
Released 8/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 2h 43m | Size: 806 MB
The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.

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