π° Welcome to MyBunny.TV β Your Gateway to Unlimited Entertainment! π°
Enjoy 10,000+ Premium HD Channels, thousands of movies & series, and experience lightning-fast instant activation.
Reliable, stable, and built for the ultimate streaming experience β no hassles, just entertainment!
π Join the fastest growing IPTV community today and discover why everyone is switching to MyBunny.TV!
Williams N. Python GPT Cookbook. 75+ practical recipes...for the real world 2025
To start this P2P download, you have to install a BitTorrent client like
qBittorrent
Category:Other Total size: 5.06 MB Added: 3 months ago (2025-05-28 06:42:01)
Share ratio:37 seeders, 1 leechers Info Hash:AA3B7C3484FE1D3C8406F03CE5F80BCE6E9C5D60 Last updated: 11 hours ago (2025-09-13 11:54:03)
Report Bad Torrent
×
Description:
Textbook in PDF format
GPT has redefined the landscape of AI, enabling the creation of powerful language models capable of diverse applications. The objective of the Python GPT Cookbook is to equip readers with practical recipes and foundational knowledge to build business solutions using GPT and Python.
The book is divided into four parts. The first covers the basics, the second teaches the fundamentals of NLP, the third delves into applying GPT in various fields, and the fourth provides a conclusion. Each chapter includes recipes and practical insights to help readers deepen their understanding and apply the concepts presented. This cookbook approach delivers 78 practical recipes, including creating OpenAI accounts, utilizing playgrounds and API keys. You will learn text preprocessing, embeddings, fine-tuning, and GPT integration with Hugging Face. Learn to implement GPT using PyTorch and TensorFlow, convert models, and build authenticated actions. Applications include chatbots, email summarization, DBA copilots, and use cases in marketing, sales, IP, and manufacturing.
By the end of the book, readers will have a robust understanding of GPT models and how to use them for real-world NLP tasks, along with the skills to continue exploring this powerful technology independently.
What you will learn
β Learn Python, OpenAI, TensorFlow, Hugging Face, and vector databases.
β Master Python for NLP applications and data manipulation.
β Understand and implement GPT models for various tasks.
β Integrate GPT with various architectural components, such as databases, third-party APIs, servers, and data pipelines
β Utilise NLTK, PyTorch, and TensorFlow for advanced NLP projects.
β Use Jupyter for interactive coding and data analysis.
Who this book is for
The Python GPT Cookbook is for IT professionals and business innovators who already have basic Python skills. Data scientists, ML engineers, NLP engineers, and ML researchers will also find it useful.
ΠΠ½ΠΈΠ³Π° ΡΠ΅ΡΠ΅ΠΏΡΠΎΠ² Python GPT: Π±ΠΎΠ»Π΅Π΅ 75 ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ ΡΠ΅ΡΠ΅ΠΏΡΠΎΠ² ΠΏΠΎ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ NLP-ΡΠ΅ΡΠ΅Π½ΠΈΠΉ Π΄Π»Ρ ΡΠ΅Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠΈΡΠ°.
Π’Π΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΡ GPT ΠΈΠ·ΠΌΠ΅Π½ΠΈΠ»Π° Π»Π°Π½Π΄ΡΠ°ΡΡ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΠ°, ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ² ΡΠΎΠ·Π΄Π°Π²Π°ΡΡ ΠΌΠΎΡΠ½ΡΠ΅ ΡΠ·ΡΠΊΠΎΠ²ΡΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΠΏΡΠΈΠ³ΠΎΠ΄Π½ΡΠ΅ Π΄Π»Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠΉ. Π¦Π΅Π»Ρ ΠΊΠ½ΠΈΠ³ΠΈ ΡΠ΅ΡΠ΅ΠΏΡΠΎΠ² Python GPT - ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²ΠΈΡΡ ΡΠΈΡΠ°ΡΠ΅Π»ΡΠΌ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ΅ΡΠ΅ΠΏΡΡ ΠΈ Π±Π°Π·ΠΎΠ²ΡΠ΅ Π·Π½Π°Π½ΠΈΡ Π΄Π»Ρ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ Π±ΠΈΠ·Π½Π΅Ρ-ΡΠ΅ΡΠ΅Π½ΠΈΠΉ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ GPT ΠΈ Python.
ΠΠ½ΠΈΠ³Π° ΡΠ°Π·Π΄Π΅Π»Π΅Π½Π° Π½Π° ΡΠ΅ΡΡΡΠ΅ ΡΠ°ΡΡΠΈ. Π ΠΏΠ΅ΡΠ²ΠΎΠΉ ΡΠ°ΡΡΠΊΠ°Π·ΡΠ²Π°Π΅ΡΡΡ ΠΎΠ± ΠΎΡΠ½ΠΎΠ²Π°Ρ , Π²ΠΎ Π²ΡΠΎΡΠΎΠΉ - ΠΎΠ± ΠΎΡΠ½ΠΎΠ²Π°Ρ NLP, Π² ΡΡΠ΅ΡΡΠ΅ΠΉ - ΠΎ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠΈ NLP Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ ΠΎΠ±Π»Π°ΡΡΡΡ , Π° Π² ΡΠ΅ΡΠ²Π΅ΡΡΠΎΠΉ Π΄Π°Π΅ΡΡΡ Π·Π°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠ°ΠΆΠ΄Π°Ρ Π³Π»Π°Π²Π° ΡΠΎΠ΄Π΅ΡΠΆΠΈΡ ΡΠ΅ΡΠ΅ΠΏΡΡ ΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΠΈΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΠΎΠΌΠΎΠ³ΡΡ ΡΠΈΡΠ°ΡΠ΅Π»ΡΠΌ ΡΠ³Π»ΡΠ±ΠΈΡΡ ΠΏΠΎΠ½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΠΈ ΠΏΡΠΈΠΌΠ΅Π½ΠΈΡΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΡΠ΅ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΠΈ. Π ΡΡΠΎΠΉ ΠΊΠ½ΠΈΠ³Π΅ ΡΠ΅ΡΠ΅ΠΏΡΠΎΠ² ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΎ 78 ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ ΡΠ΅ΡΠ΅ΠΏΡΠΎΠ², Π²ΠΊΠ»ΡΡΠ°Ρ ΡΠΎΠ·Π΄Π°Π½ΠΈΠ΅ Π°ΠΊΠΊΠ°ΡΠ½ΡΠΎΠ² OpenAI, ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈΠ³ΡΠΎΠ²ΡΡ ΠΏΠ»ΠΎΡΠ°Π΄ΠΎΠΊ ΠΈ ΠΊΠ»ΡΡΠ΅ΠΉ API. ΠΡ ΡΠ·Π½Π°Π΅ΡΠ΅ ΠΎ ΠΏΡΠ΅Π΄Π²Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠ΅ ΡΠ΅ΠΊΡΡΠ°, Π²ΡΡΡΠ°ΠΈΠ²Π°Π½ΠΈΠΈ, ΡΠΎΠ½ΠΊΠΎΠΉ Π½Π°ΡΡΡΠΎΠΉΠΊΠ΅ ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ GPT Ρ Hugging Face. ΠΠ°ΡΡΠΈΡΠ΅ΡΡ Π²Π½Π΅Π΄ΡΡΡΡ GPT Ρ ΠΏΠΎΠΌΠΎΡΡΡ PyTorch ΠΈ TensorFlow, ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²ΡΠ²Π°ΡΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΈ ΡΠΎΠ·Π΄Π°Π²Π°ΡΡ Π°ΡΡΠ΅Π½ΡΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ Π΄Π΅ΠΉΡΡΠ²ΠΈΡ. ΠΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΡ Π²ΠΊΠ»ΡΡΠ°ΡΡ ΡΠ°Ρ-Π±ΠΎΡΠΎΠ², ΡΠ°ΡΡΡΠ»ΠΊΡ ΡΠΎΠΎΠ±ΡΠ΅Π½ΠΈΠΉ ΠΏΠΎ ΡΠ»Π΅ΠΊΡΡΠΎΠ½Π½ΠΎΠΉ ΠΏΠΎΡΡΠ΅, ΠΏΠΎΠΌΠΎΡΠ½ΠΈΠΊΠΎΠ² Π°Π΄ΠΌΠΈΠ½ΠΈΡΡΡΠ°ΡΠΎΡΠ° Π±Π°Π·Ρ Π΄Π°Π½Π½ΡΡ ΠΈ ΠΏΡΠΈΠΌΠ΅ΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π² ΠΌΠ°ΡΠΊΠ΅ΡΠΈΠ½Π³Π΅, ΠΏΡΠΎΠ΄Π°ΠΆΠ°Ρ , ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΠΎΡΡΠΈ ΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅.
Π ΠΊΠΎΠ½ΡΡ ΠΊΠ½ΠΈΠ³ΠΈ ΡΠΈΡΠ°ΡΠ΅Π»ΠΈ ΠΏΠΎΠ»ΡΡΠ°Ρ ΡΠ΅ΡΠΊΠΎΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΠΎ ΠΌΠΎΠ΄Π΅Π»ΡΡ GPT ΠΈ ΠΎ ΡΠΎΠΌ, ΠΊΠ°ΠΊ ΠΈΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ Π² ΡΠ΅Π°Π»ΡΠ½ΡΡ Π·Π°Π΄Π°ΡΠ°Ρ NLP, Π° ΡΠ°ΠΊΠΆΠ΅ Π½Π°Π²ΡΠΊΠΈ, Π½Π΅ΠΎΠ±Ρ ΠΎΠ΄ΠΈΠΌΡΠ΅ Π΄Π»Ρ ΡΠ°ΠΌΠΎΡΡΠΎΡΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ ΡΡΠΎΠΉ ΠΌΠΎΡΠ½ΠΎΠΉ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ.
Π§ΡΠΎ Π²Ρ ΡΠ·Π½Π°Π΅ΡΠ΅
β ΠΠ·ΡΡΠΈΡΠ΅ Π±Π°Π·Ρ Π΄Π°Π½Π½ΡΡ Python, OpenAI, TensorFlow, Hugging Face ΠΈ vector.
β ΠΡΠ²ΠΎΠΈΡΠ΅ Python Π΄Π»Ρ ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΠΉ NLP ΠΈ ΠΌΠ°Π½ΠΈΠΏΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄Π°Π½Π½ΡΠΌΠΈ.
β ΠΠΎΠ½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΠΈ Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΠ΅ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ GPT Π΄Π»Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ Π·Π°Π΄Π°Ρ.
β ΠΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΡ GPT Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌΠΈ Π°ΡΡ ΠΈΡΠ΅ΠΊΡΡΡΠ½ΡΠΌΠΈ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ°ΠΌΠΈ, ΡΠ°ΠΊΠΈΠΌΠΈ ΠΊΠ°ΠΊ Π±Π°Π·Ρ Π΄Π°Π½Π½ΡΡ , ΡΡΠΎΡΠΎΠ½Π½ΠΈΠ΅ API, ΡΠ΅ΡΠ²Π΅ΡΡ ΠΈ ΠΊΠΎΠ½Π²Π΅ΠΉΠ΅ΡΡ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ Π΄Π°Π½Π½ΡΡ
β ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ NLTK, PyTorch ΠΈ TensorFlow Π΄Π»Ρ ΠΏΡΠΎΠ΄Π²ΠΈΠ½ΡΡΡΡ ΠΏΡΠΎΠ΅ΠΊΡΠΎΠ² NLP.
β ΠΡΠΏΠΎΠ»ΡΠ·ΡΠΉΡΠ΅ Jupyter Π΄Π»Ρ ΠΈΠ½ΡΠ΅ΡΠ°ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π°Π½Π½ΡΡ .
ΠΠ»Ρ ΠΊΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄Π½Π°Π·Π½Π°ΡΠ΅Π½Π° ΡΡΠ° ΠΊΠ½ΠΈΠ³Π°
ΠΠ½ΠΈΠ³Π° ΡΠ΅ΡΠ΅ΠΏΡΠΎΠ² ΠΏΠΎ Python GPT ΠΏΡΠ΅Π΄Π½Π°Π·Π½Π°ΡΠ΅Π½Π° Π΄Π»Ρ ΠΠ’-ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠΎΠ² ΠΈ Π±ΠΈΠ·Π½Π΅Ρ-Π½ΠΎΠ²Π°ΡΠΎΡΠΎΠ², ΠΊΠΎΡΠΎΡΡΠ΅ ΡΠΆΠ΅ Π²Π»Π°Π΄Π΅ΡΡ Π±Π°Π·ΠΎΠ²ΡΠΌΠΈ Π½Π°Π²ΡΠΊΠ°ΠΌΠΈ ΡΠ°Π±ΠΎΡΡ Ρ Python. Π‘ΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΡ ΠΏΠΎ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠ΅ Π΄Π°Π½Π½ΡΡ , ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΡ ML, ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΡ NLP ΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΠΈ ML ΡΠ°ΠΊΠΆΠ΅ Π½Π°ΠΉΠ΄ΡΡ Π΅Π΅ ΠΏΠΎΠ»Π΅Π·Π½ΠΎΠΉ