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97271747
LangChain Programming for Beginners: A Step-By-Step Guide to AI Application Development With LangChain, Python, OpenAI/ChatGPT, Google/Gemini and
84% of respondents would recommend this to a friend
Item #:
97271747
MYR 80
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What Stands Out
Comprehensive Approach
This guide provides a thorough introduction to LangChain, ideal for beginners, ensuring a deep understanding of AI application development across multiple platforms and languages.
Step-by-Step Learning
With detailed instructions and practical examples, learners can progressively build their skills and confidence in using LangChain and LLMs, streamlining the development process.
Diverse Integration
The book covers integration with popular tools like OpenAI/ChatGPT and Google/Gemini, allowing users to create versatile applications and solve a variety of real-world challenges effectively.
Maklumat produk
| Publisher | Independently published |
| Publication date | June 10, 2024 |
| Language | English |
| Print length | 145 pages |
| ISBN-13 | 979-8328080675 |
| Item Weight | 12 ounces (340.2 grams) |
| Dimensions | 7.5 x 0.33 x 9.25 inches (19.1 x 0.8 x 23.5 cm) |
| Part of series | Code With Nathan |
Who Should Buy?
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Aspiring Developers
Beginners looking to learn AI application development can follow step-by-step guidance to start coding in LangChain.
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AI Enthusiasts
Individuals interested in understanding LLMs and their applications will find valuable insights and practical examples in the book.
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Python Learners
Those already familiar with Python can enhance their skills by applying it in real-world AI development scenarios.
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Experienced Developers
Seasoned programmers may find the content too basic and lacking in advanced topics about LangChain and LLMs.
PENERANGAN PRODUK
LangChain Programming for Beginners: A Step-By-Step Guide to AI Application Development With LangChain, Python, OpenAI/ChatGPT, Google/Gemini and Other LLMs (Code With Nathan)
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Intelligence & Semantics Editorial Review
**** "LangChain Programming for Beginners: A Step-By-Step Guide to AI Application Development With LangChain, Python, OpenAI/ChatGPT, Google/Gemini" has garnered positive feedback from readers who find it to be an accessible introduction to the world of large language models (LLMs) and the LangChain framework. Many users highlighted its effectiveness as a primer, noting that the concise and organized content allows for quick Consumption, making it suitable for those new to AI and competitive technologies. The early chapters of the book excel in providing a solid foundation with enough technical details to assist readers in setting up their own Python clients for LLM usage. Many reviewers appreciated the inclusion of discussions surrounding open-source LLMs, which they found particularly pertinent for beginners. The fact that the author has made a zip file available with all relevant code examples further enhances the learning experience, making it easier for readers to follow along without extensive manual transcription. However, the book does take a turn in its later chapters, where several users reported challenges in running the provided code. Critics noted that the code begins to require substantial debugging and that after a certain point, it becomes increasingly confusing. Some specific issues, including missing imports and other incompatibilities, led to frustration among readers. Additionally, while the author initially offered support through email, some found it lacking, mentioning that he seemed to have shifted his focus away from addressing these coding issues. Despite these setbacks, the general Consensus remains that this book serves as a valuable starting point for those looking to delve into LangChain and LLMs. Its initial accessibility and the wealth of provided resources have earned it recommendations from several users, especially data scientists eager to implement what they’ve learned. **
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Kebaikan
- Concise and organized content makes it suitable for beginners.
- Provides a solid foundation for understanding LangChain and AI application development.
- Availability of a zip file with all examples simplifies the coding process for readers.
- Covers both theoretical concepts and practical applications, including deployment.
Keburukan
- Later chapters present significant coding challenges and require debugging.
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