Subject Detail

Sno	Back	regulation	branch	year	semester	subject_code	name	credits	category
1	Back	R23AIML	ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML)	4	1	23A31701	GENERATIVE AI & PROMPT ENGINEERING	3.0	Theory

Syllabus List

Sno	subject	description	note	syllabus_file
1	GENERATIVE AI & PROMPT ENGINEERING - 23A31701 (Theory)	23A31701	23A31701	Link

Book List

Sno	subject	title	author	publisher	edition	book_type	IMG	book_file	note
1	GENERATIVE AI & PROMPT ENGINEERING - 23A31701 (Theory)	Generative Deep Learning	David Foster	O‘Reilly	2nd Edition	Textbook		Link	note
2	GENERATIVE AI & PROMPT ENGINEERING - 23A31701 (Theory)	Deep Learning with Python	François Chollet	Manning	2nd Edition	Textbook		Link	note
3	GENERATIVE AI & PROMPT ENGINEERING - 23A31701 (Theory)	LangChain Documentation	LangChain Documentation	LangChain Documentation	LangChain Documentation	Reference		Link	note
4	GENERATIVE AI & PROMPT ENGINEERING - 23A31701 (Theory)	Papers from NeurIPS, ACL, ICML related to XAI and LLMs	Papers from NeurIPS, ACL, ICML related to XAI and LLMs	Papers from NeurIPS, ACL, ICML related to XAI and LLMs	Papers from NeurIPS, ACL, ICML related to XAI and LLMs	Reference		Link	note
5	GENERATIVE AI & PROMPT ENGINEERING - 23A31701 (Theory)	OpenAI Technical Reports on GPT Models	OpenAI Technical Reports on GPT Models	OpenAI Technical Reports on GPT Models	OpenAI Technical Reports on GPT Models	Reference		Link	note
6	GENERATIVE AI & PROMPT ENGINEERING - 23A31701 (Theory)	Vaswani et al., Attention is All You Need	Vaswani	Vaswani	Vaswani	Reference		Link	note

OnlineReference List

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Question Paper List

Sno	Subject	Question Paper Type	Date	Title	File

Lab List

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