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Mastering spaCy: Build structured NLP solutions with custom components and models powered by spacy-llm
Manage episode 509091246 series 3683458
CyberSecurity Summary에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 CyberSecurity Summary 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
A comprehensive guide for Natural Language Processing (NLP) professionals, focusing on advanced techniques and applications using the spaCy library. The text covers various topics, including linguistic feature extraction, rule-based matching, utilizing transformer models like BERT and RoBERTa within spaCy, and integrating Large Language Models (LLMs) with spacy-llm for tasks like summarization and custom applications. Additionally, it details how to train custom Named Entity Recognition (NER) components with user-provided data and how to build end-to-end NLP workflows using Weasel and DVC, highlighting best practices for data annotation and corpus creation. The book aims to equip readers with the skills to develop robust and efficient NLP solutions, offering practical examples and code snippets for hands-on learning.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Mastering-spaCy-structured-solutions-components/dp/B0DVCBRFZX?&linkCode=ll1&tag=cvthunderx-20&linkId=6a4aefa23f5b3e6319ac1ace9668278c&language=en_US&ref_=as_li_ss_tl
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You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Mastering-spaCy-structured-solutions-components/dp/B0DVCBRFZX?&linkCode=ll1&tag=cvthunderx-20&linkId=6a4aefa23f5b3e6319ac1ace9668278c&language=en_US&ref_=as_li_ss_tl
1001 에피소드
공유
