Jia Huang is a Lead Research Engineer at A*STAR (Agency for Science, Technology and Research), Singapore, where his work focuses on NLP, large language models, and applied AI engineering. With over twenty years of experience leading large-scale AI and data projects across government, finance, healthcare, and e-commerce, he brings an unusually practical lens to technically rigorous subjects. In recent years, his research has primarily focused on NLP pre-trained large models and FinTech applications.
He is the author of six bestselling technical books, including Hands-on AI Agent Development for Large Model Applications selected as one of JD Best Books of 2024 and GPT: How Large Models Are Built, named CSDN's Most Influential IT Book of 2023. His online RAG engineering course has been completed by over 10,000 students.
Jia Huang - ebooki
Tytuły autora: Jia Huang dostępne w księgarni Ebookpoint
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A code-first guide to RAG, from ingestion and chunking through hybrid retrieval, reranking, and evaluation. Written by bestselling AI author, it teaches you how to build, optimize, and debug every layer of a RAG pipeline from first principles.-
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ebook
96 pkt
(116,10 zł najniższa cena z 30 dni)
96.75 zł
129.00 zł (-25%) -
