{"id":19092843,"url":"https://github.com/eon01/openaigptforpythondevelopersfiles","last_synced_at":"2025-09-08T00:32:12.065Z","repository":{"id":220523734,"uuid":"751858116","full_name":"eon01/OpenAIGPTForPythonDevelopersFiles","owner":"eon01","description":"This repository contains the code and other resources used in OpenAI GPT for Python Developers (2nd Edition)","archived":false,"fork":false,"pushed_at":"2024-04-23T18:03:21.000Z","size":45730,"stargazers_count":12,"open_issues_count":0,"forks_count":8,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-04-08T12:50:06.225Z","etag":null,"topics":["ai","aiml","chatbot","chatgpt","chatgpt-api","embeddings","gpt","gpt-3","gpt-35-turbo","gpt-4","ml","openai","weaviate"],"latest_commit_sha":null,"homepage":"https://amzn.to/3U99smX","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/eon01.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-02-02T13:36:39.000Z","updated_at":"2024-11-12T08:23:59.000Z","dependencies_parsed_at":"2024-04-23T19:39:04.553Z","dependency_job_id":null,"html_url":"https://github.com/eon01/OpenAIGPTForPythonDevelopersFiles","commit_stats":null,"previous_names":["eon01/openai_gpt_for_python_developers_files","eon01/openaigptforpythondevelopersfiles"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/eon01/OpenAIGPTForPythonDevelopersFiles","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eon01%2FOpenAIGPTForPythonDevelopersFiles","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eon01%2FOpenAIGPTForPythonDevelopersFiles/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eon01%2FOpenAIGPTForPythonDevelopersFiles/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eon01%2FOpenAIGPTForPythonDevelopersFiles/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/eon01","download_url":"https://codeload.github.com/eon01/OpenAIGPTForPythonDevelopersFiles/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eon01%2FOpenAIGPTForPythonDevelopersFiles/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274117110,"owners_count":25225098,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-09-07T02:00:09.463Z","response_time":67,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","aiml","chatbot","chatgpt","chatgpt-api","embeddings","gpt","gpt-3","gpt-35-turbo","gpt-4","ml","openai","weaviate"],"created_at":"2024-11-09T03:22:20.029Z","updated_at":"2025-09-08T00:32:07.047Z","avatar_url":"https://github.com/eon01.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# OpenAI GPT For Python Developers\n\nThis repository contains the code and other resources used in [OpenAI GPT for Python Developers](https://amzn.to/3U99smX).\n\n[![](assets/3d.png)](https://amzn.to/3U99smX)\n\n## About\n\nThe knowledge you'll acquire from this guide will be applicable to the current families of GPT models (GPT-3, GPT-3.5, GPT-4, etc.) and will likely also be relevant to GPT-5, should it ever be released.\n\nOpenAI provides APIs (Application Programming Interfaces) to access their AI. The goal of an API is to abstract the underlying models by creating a universal interface for all versions, allowing users to use GPT regardless of its version.\n\nThis guide aims to provide a comprehensive, step-by-step tutorial on how to utilize GPT-3.5 and GPT-4 in your projects via this API. It also covers other models, such as Whisper and Text-to-Speech.\n\nIf you're developing a chatbot, an AI assistant, or a web application that utilizes AI-generated data, this guide will assist you in achieving your objectives.\n\nIf you have a basic understanding of the Python programming language and are willing to learn a few additional techniques, such as using Pandas Dataframes and some NLP methods, you possess all the necessary tools to start building intelligent systems with OpenAI tools.\n\nRest assured, **you don't need to be a data scientist, machine learning engineer, or AI expert** to comprehend and implement the concepts, techniques, and tutorials presented in this guide. The explanations provided are straightforward and easy to understand, featuring simple Python code, examples, and hands-on exercises.\n\nThis guide emphasizes practical, hands-on learning and is designed to assist readers in building real-world applications. It is example-driven and provides numerous practical examples to help readers understand the concepts and apply them to real-life scenarios to solve real-world problems.\n\nBy the end of your learning journey, you will have developed applications such as:\n\n- Fine-tuned, domain-specific chatbots.\n- An intelligent conversational system with memory and context.\n- A semantic modern search engine using RAG and other techniques.\n- An intelligent coffee recommendation system based on your taste.\n- A chatbot assistant to assist with Linux commands\n- A fine-tuned news category prediction system.\n- An AI-to-AI autonomous discussion system to simulate human-like conversations or solve problems\n- An AI-based mental health coach trained on a large dataset of mental health conversations\n- and more!\n\nBy reading this guide and following the examples, you will be able to:\n\n- Understand the different models available, and how and when to use each one.\n- Generate human-like text for various purposes, such as answering questions, creating content, and other creative uses.\n- Control the creativity of GPT models and adopt the best practices to generate high-quality text.\n- Transform and edit the text to perform translation, formatting, and other useful tasks.\n- Optimize the performance of GPT models using various parameters and options such as max_tokens, temperature, top_p, n, stream, logprobs, stop, presence_penalty, frequency_penalty, best_of, and others.\n- Stem, lemmatize and reduce your costs when using the API.\n- Understand Context Stuffing, chaining, and practice prompt engineering.\n- Implement a chatbot with memory and context.\n- Create prediction algorithms and zero-shot techniques and evaluate their accuracy.\n- Understand, practice, and improve few-shot learning.\n- Understand fine-tuning and leverage its power to create your own fine-tuned models.\n- Understand and use fine-tuning best practices\n- Practice training and classification techniques using GPT.\n- Understand embedding and how companies such as Tesla and Notion are using it.\n- Understand and implement semantic search, RAG, and other advanced tools and concepts.\n- Integrate a Vector Database (e.g.: Weaviate) with your intelligent systems.- ","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feon01%2Fopenaigptforpythondevelopersfiles","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Feon01%2Fopenaigptforpythondevelopersfiles","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feon01%2Fopenaigptforpythondevelopersfiles/lists"}