語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Building generative AI-powered appsa...
~
Kansal, Aarushi.
Building generative AI-powered appsa hands-on guide for developers /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Building generative AI-powered appsby Aarushi Kansal.
其他題名:
a hands-on guide for developers /
作者:
Kansal, Aarushi.
出版者:
Berkeley, CA :Apress :2024.
面頁冊數:
xi, 170 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Application softwareDevelopment.
電子資源:
https://doi.org/10.1007/979-8-8688-0205-8
ISBN:
9798868802058$q(electronic bk.)
Building generative AI-powered appsa hands-on guide for developers /
Kansal, Aarushi.
Building generative AI-powered apps
a hands-on guide for developers /[electronic resource] :by Aarushi Kansal. - Berkeley, CA :Apress :2024. - xi, 170 p. :ill., digital ;24 cm.
Generative AI has gone beyond the responsibility of researchers and data scientists and is being used by production engineers. However, there is a lot of confusion where to get started when building an end-to-end app with generative AI. This book consolidates core models, frameworks, and tools into a single source of knowledge. By providing hands-on examples, the book takes you through the generative AI ecosystem to build applications for production. The book starts with a brief and accessible introduction to transformer models before delving into some of the most popular large language models and diffusions models (image generation) These models are the foundations of both AI and your potential new apps. You will then go through various tools available to work with these models, starting with Langchain, a framework to develop foundational models, which is the next building block you should grasp after understanding generative AI models. The next chapters cover databases, caching, monitoring, etc., which are the topics necessary to build larger-scale applications. Real-world examples using these models and tools are included. By the end of this book, you should be able to build end-to-end apps that are powered by generative AI. You also should be able to apply the tools and techniques taught in this book to your use cases and business. What You Will Learn What is Generative AI? What is ChatGPT and GPT4? What are language models and diffusions models? How do we deploy LangChain and HuggingFace?
ISBN: 9798868802058$q(electronic bk.)
Standard No.: 10.1007/979-8-8688-0205-8doiSubjects--Topical Terms:
189413
Application software
--Development.
LC Class. No.: QA76.76.A65
Dewey Class. No.: 005.3
Building generative AI-powered appsa hands-on guide for developers /
LDR
:02510nmm a22003135a 4500
001
665615
003
DE-He213
005
20240324172056.0
006
m d
007
cr nn 008maaau
008
241219s2024 cau s 0 eng d
020
$a
9798868802058$q(electronic bk.)
020
$a
9798868802041$q(paper)
024
7
$a
10.1007/979-8-8688-0205-8
$2
doi
035
$a
979-8-8688-0205-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.76.A65
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
005.3
$2
23
090
$a
QA76.76.A65
$b
K16 2024
100
1
$a
Kansal, Aarushi.
$3
978543
245
1 0
$a
Building generative AI-powered apps
$h
[electronic resource] :
$b
a hands-on guide for developers /
$c
by Aarushi Kansal.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2024.
300
$a
xi, 170 p. :
$b
ill., digital ;
$c
24 cm.
520
$a
Generative AI has gone beyond the responsibility of researchers and data scientists and is being used by production engineers. However, there is a lot of confusion where to get started when building an end-to-end app with generative AI. This book consolidates core models, frameworks, and tools into a single source of knowledge. By providing hands-on examples, the book takes you through the generative AI ecosystem to build applications for production. The book starts with a brief and accessible introduction to transformer models before delving into some of the most popular large language models and diffusions models (image generation) These models are the foundations of both AI and your potential new apps. You will then go through various tools available to work with these models, starting with Langchain, a framework to develop foundational models, which is the next building block you should grasp after understanding generative AI models. The next chapters cover databases, caching, monitoring, etc., which are the topics necessary to build larger-scale applications. Real-world examples using these models and tools are included. By the end of this book, you should be able to build end-to-end apps that are powered by generative AI. You also should be able to apply the tools and techniques taught in this book to your use cases and business. What You Will Learn What is Generative AI? What is ChatGPT and GPT4? What are language models and diffusions models? How do we deploy LangChain and HuggingFace?
650
0
$a
Application software
$x
Development.
$3
189413
650
0
$a
Artificial intelligence.
$3
194058
650
1 4
$a
Artificial Intelligence.
$3
212515
650
2 4
$a
Machine Learning.
$3
833608
650
2 4
$a
Python.
$3
763308
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/979-8-8688-0205-8
950
$a
Professional and Applied Computing (SpringerNature-12059)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000242264
電子館藏
1圖書
電子書
EB QA76.76.A65 K16 2024 2024
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/979-8-8688-0205-8
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入