# KodeKloud: Beta Courses Mastering Generative AI with OpenAI ## Mastering Generative AI with OpenAI ### Introduction - [Introduction to Course](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Introduction/Introduction-to-Course/page.md): This hands-on course teaches integration of OpenAI's Generative AI models into real-world applications. ### What is Generative AI - [Section Introduction](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/What-is-Generative-AI/Section-Introduction/page.md): This section introduces generative AI concepts, comparing them with traditional models and outlining key learning objectives for developers. - [Introduction to AI](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/What-is-Generative-AI/Introduction-to-AI/page.md): This article introduces Artificial Intelligence, its subsets Machine Learning and Deep Learning, and compares traditional programming with machine learning techniques. - [Introduction to Generative AI](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/What-is-Generative-AI/Introduction-to-Generative-AI/page.md): Generative AI enables the creation of new content by learning patterns from large datasets, transforming creativity and problem-solving through accessible tools. - [Foundation Models](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/What-is-Generative-AI/Foundation-Models/page.md): Foundation models are large-scale AI systems trained on vast datasets, enabling capabilities like text generation and image captioning while posing risks of biased outputs. ### Getting Started with OpenAI - [Section Intro](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Getting-Started-with-OpenAI/Section-Intro/page.md): Overview of OpenAI, its models, hands-on demos, account setup, API pricing, and a lab exercise for creating an account. - [What is OpenAI](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Getting-Started-with-OpenAI/What-is-OpenAI/page.md): The article traces OpenAIs journey from its 2015 origins, covering milestones, platform components, and generative AI services. - [OpenAI Foundation Models](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Getting-Started-with-OpenAI/OpenAI-Foundation-Models/page.md): OpenAI’s foundation models enable generative AI for text, image, and audio applications, featuring GPT, DALL·E, and Whisper. - [OpenAI Model Variants](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Getting-Started-with-OpenAI/OpenAI-Model-Variants/page.md): OpenAI’s API offers various model families and variants optimized for specific use cases, balancing performance, cost, and accuracy. - [Setting Up OpenAI Account](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Getting-Started-with-OpenAI/Setting-Up-OpenAI-Account/page.md): A quick guide to creating an OpenAI account and configuring API access for building AI-powered applications. - [OpenAI Playground](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Getting-Started-with-OpenAI/OpenAI-Playground/page.md): An interactive platform for testing and experimenting with the OpenAI API, featuring various modes and presets for different tasks. - [OpenAI API and Libraries](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Getting-Started-with-OpenAI/OpenAI-API-and-Libraries/page.md): Programmatic access to OpenAI’s models for integrating GPT features into applications using official SDKs and community libraries. - [OpenAI Pricing](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Getting-Started-with-OpenAI/OpenAI-Pricing/page.md): OpenAIs pricing guide details billing for text, image, and audio models, including costs per tokens, images, and audio duration. ### Exploring ChatGPT - [What is ChatGPT](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Exploring-ChatGPT/What-is-ChatGPT/page.md): This article explores ChatGPT, its models, tiers, integration options, and features for users and developers. ### Understanding Prompt Engineering - [Section Intro](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Understanding-Prompt-Engineering/Section-Intro/page.md): This article discusses prompt engineering in generative AI, focusing on crafting effective prompts to enhance model outputs and minimize errors. - [Prompt Engineering in Generative AI](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Understanding-Prompt-Engineering/Prompt-Engineering-in-Generative-AI/page.md): This article discusses prompt engineering for guiding large language models to produce accurate and relevant outputs without altering model weights. - [Key Types of Prompts Used with LLMs](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Understanding-Prompt-Engineering/Key-Types-of-Prompts-Used-with-LLMs/page.md): This article explores seven core prompt categories for large language models to enhance output precision, relevance, and neutrality. - [Avoiding Hallucinations](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Understanding-Prompt-Engineering/Avoiding-Hallucinations/page.md): This article explores hallucination in large language models and techniques to reduce it through prompt engineering and fine-tuning. - [Key Techniques of Prompt Engineering](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Understanding-Prompt-Engineering/Key-Techniques-of-Prompt-Engineering/page.md): Master three core prompt engineering strategies to effectively guide large language models toward your specific needs. ### Understanding Tokens and API Parameters - [Section Intro](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Understanding-Tokens-and-API-Parameters/Section-Intro/page.md): This lesson covers the OpenAI platform, API configuration, and key parameters for effective use in development. - [A Closer Look at OpenAI API](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Understanding-Tokens-and-API-Parameters/A-Closer-Look-at-OpenAI-API/page.md): This article explores the OpenAI API, its architecture, and how to use tokens and parameters for effective interaction. - [Configuring the Development Environment](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Understanding-Tokens-and-API-Parameters/Configuring-the-Development-Environment/page.md): Prepare your local machine to experiment with the OpenAI API by installing Python, setting up a virtual environment, and verifying the setup. - [What are Tokens](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Understanding-Tokens-and-API-Parameters/What-are-Tokens/page.md): Explains what tokens are in LLMs, how tokenization works, token counts, context limits, costs, and tools like OpenAI Tokenizer and tiktoken. - [Understanding OpenAI API Parameters](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Understanding-Tokens-and-API-Parameters/Understanding-OpenAI-API-Parameters/page.md): Learn to control OpenAI API chat completions by adjusting parameters for creativity, length, and repetition through programming and the OpenAI Playground. ### Implementing Word Completion - [Implementing Word Completion](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Implementing-Word-Completion/Implementing-Word-Completion/page.md): Learn to use GPT-3.5 for intelligent word completion, text generation, prompt optimization, and HTML snippet creation in web applications. - [Demo Implementing Word Completion](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Implementing-Word-Completion/Demo-Implementing-Word-Completion/page.md): This article teaches how to use the OpenAI ChatCompletion API in Jupyter Notebook for generating product descriptions and HTML snippets. ### Implementing Code Completion - [Implementing Code Completion](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Implementing-Code-Completion/Implementing-Code-Completion/page.md): This article provides a guide on using GPT-3.5 Turbo for automated code completion across HTML, Python, and SQL. - [Demo Implementing Code Completion](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Implementing-Code-Completion/Demo-Implementing-Code-Completion/page.md): This tutorial explores using the OpenAI ChatCompletion API for auto-generating and refining code snippets across various programming tasks. ### Building an Interactive Chatbot - [Section Intro](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Building-an-Interactive-Chatbot/Section-Intro/page.md): This comprehensive guide teaches building an interactive chatbot using OpenAI’s GPT-3.5 and GPT-4 models for customer service applications. - [Word Completion vs Chat Completion](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Building-an-Interactive-Chatbot/Word-Completion-vs-Chat-Completion/page.md): This article explains the differences between word completion and chat completion in OpenAIs GPT-3.5 Turbo model. - [Project Overview Creating a Chatbot for a Restaurant](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Building-an-Interactive-Chatbot/Project-Overview-Creating-a-Chatbot-for-a-Restaurant/page.md): This tutorial guides you in building a fast-food ordering chatbot named BurgerBot using OpenAI Chat API and HoloViz Panel in a Jupyter notebook. - [Using Widgets in Jupyter Notebook](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Building-an-Interactive-Chatbot/Using-Widgets-in-Jupyter-Notebook/page.md): Enhance Jupyter Notebook with interactive widgets and layouts using Panel for dynamic interfaces and explorations. - [Creating a Chatbot for a Restaurant](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Building-an-Interactive-Chatbot/Creating-a-Chatbot-for-a-Restaurant/page.md): This tutorial guides you in building an interactive chatbot for a fast-food restaurant using OpenAI and Panel in Python. ### Performing Text Processing and Analysis - [Performing Text Processing and Analysis](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Performing-Text-Processing-and-Analysis/Performing-Text-Processing-and-Analysis/page.md): This article discusses advanced NLP techniques using LLMs for tasks like summarization, sentiment analysis, translation, and formatting through a single API endpoint. - [Demo Performing Text Processing and Analysis](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Performing-Text-Processing-and-Analysis/Demo-Performing-Text-Processing-and-Analysis/page.md): Demo notebook showing LLM-driven text processing tasks such as summarization, sentiment analysis, poetic translation, and text-to-structure conversion, with examples, code snippets, and best practices. ### Using Word Embeddings For Dynamic Context - [Section Intro](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Using-Word-Embeddings-For-Dynamic-Context/Section-Intro/page.md): Guide on using word embeddings for dynamic context in large language models to enhance chatbot workflows. - [What are Word Embeddings](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Using-Word-Embeddings-For-Dynamic-Context/What-are-Word-Embeddings/page.md): This article explains word embeddings, their role in NLP, and how they facilitate semantic search and language model processing. - [Demo Performing Similarity Search](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Using-Word-Embeddings-For-Dynamic-Context/Demo-Performing-Similarity-Search/page.md): Learn to convert text into embeddings using OpenAI's model and perform similarity searches with NumPy for semantic applications. - [Dynamic Context](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Using-Word-Embeddings-For-Dynamic-Context/Dynamic-Context/page.md): This lesson explores enriching large language models with up-to-date information using dynamic context from various datasets. - [Demo Using Dynamic Context with Prompt](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Using-Word-Embeddings-For-Dynamic-Context/Demo-Using-Dynamic-Context-with-Prompt/page.md): This tutorial covers dynamic context injection for chatbots to provide accurate, up-to-date answers by sourcing relevant information at runtime. - [Demo Building Dynamic Context with Custom Data Part 1](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Using-Word-Embeddings-For-Dynamic-Context/Demo-Building-Dynamic-Context-with-Custom-Data-Part-1/page.md): This tutorial creates a dynamic context for a chatbot using custom data from the Oscar Awards dataset. - [Demo Building Dynamic Context with Custom Data Part 2](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Using-Word-Embeddings-For-Dynamic-Context/Demo-Building-Dynamic-Context-with-Custom-Data-Part-2/page.md): This workflow builds dynamic context from a DataFrame using embeddings and crafts prompts for OpenAI API calls. ### Fine-tuning GPT-3 with a Custom Dataset - [Section Intro](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Fine-tuning-GPT-3-with-a-Custom-Dataset/Section-Intro/page.md): This article explains fine-tuning large language models on custom datasets for improved accuracy and context-aware responses in specialized domains. - [What is Fine Tuning](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Fine-tuning-GPT-3-with-a-Custom-Dataset/What-is-Fine-Tuning/page.md): This article explains fine-tuning of large language models and its advantages over dynamic context injection for incorporating up-to-date, domain-specific data. - [Steps Involved in Fine Tuning a Model](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Fine-tuning-GPT-3-with-a-Custom-Dataset/Steps-Involved-in-Fine-Tuning-a-Model/page.md): This guide details the process of fine-tuning an OpenAI model, covering data preparation, validation, training, and model usage. - [DemoPerforming Fine Tuning Part 1](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Fine-tuning-GPT-3-with-a-Custom-Dataset/DemoPerforming-Fine-Tuning-Part-1/page.md): Learn to fine-tune an OpenAI model using the CLI, covering dataset preparation, data uploading, and fine-tune job monitoring. - [DemoPerforming Fine Tuning Part 2](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Fine-tuning-GPT-3-with-a-Custom-Dataset/DemoPerforming-Fine-Tuning-Part-2/page.md): This guide explains how to evaluate a fine-tuned OpenAI model using CLI and Python. ### Generating Images - [Section Intro](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Generating-Images/Section-Intro/page.md): DALL-E 2 is OpenAI’s image generation model that converts text prompts into high-resolution visuals with powerful creation and editing capabilities. - [Overview of DALL E 2](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Generating-Images/Overview-of-DALL-E-2/page.md): DALL-E 2 is OpenAI’s model for generating high-quality images from text and visual prompts, enabling creative image synthesis and manipulation. - [Demo Image Generation](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Generating-Images/Demo-Image-Generation/page.md): Learn to generate images from text prompts using OpenAI's DALL·E API with customization options for outputs and resolution. - [Demo Image Masking](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Generating-Images/Demo-Image-Masking/page.md): This tutorial teaches how to use DALL·E 2’s image masking feature for editing pictures by defining masked regions and providing text prompts. - [Demo Image Variations](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Generating-Images/Demo-Image-Variations/page.md): This tutorial teaches how to generate multiple variations of an image using the OpenAI DALL·E API. ### Audio Transcription & Translation - [Section Intro](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Audio-Transcription-Translation/Section-Intro/page.md): OpenAI Whisper is a Foundation Model for audio transcription and real-time speech translation with a simple API interface. - [Overview of Whisper](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Audio-Transcription-Translation/Overview-of-Whisper/page.md): OpenAI’s Whisper is a model for audio-to-text tasks, providing transcription and translation APIs for various languages. - [Demo Audio Transcription](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Audio-Transcription-Translation/Demo-Audio-Transcription/page.md): This tutorial teaches how to transcribe audio using OpenAIs Whisper API with a sample audio clip. - [Demo Audio Translation](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Audio-Transcription-Translation/Demo-Audio-Translation/page.md): This tutorial demonstrates translating a Spanish audio clip into English text using OpenAI’s Whisper API. ### Moderating Prompts with Moderating API - [Section Intro](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Moderating-Prompts-with-Moderating-API/Section-Intro/page.md): Learn to integrate safety checks into AI applications using the OpenAI Moderation API for filtering harmful content. - [Moderation API](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Moderating-Prompts-with-Moderating-API/Moderation-API/page.md): The OpenAI Moderation API detects harmful content in user inputs to ensure compliance and protect users before processing with a language model. - [Demo Implementing Moderation](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Moderating-Prompts-with-Moderating-API/Demo-Implementing-Moderation/page.md): Learn to use the OpenAI Moderation API for inspecting text inputs and preventing unsafe content in your generation pipeline. ### Summary and Next Steps - [Course SummaryNext Steps](https://notes.kodekloud.com/docs/Mastering-Generative-AI-with-OpenAI/Summary-and-Next-Steps/Course-SummaryNext-Steps/page.md): Summary of the course on mastering generative AI with OpenAI, including key takeaways and next steps for further learning and application.