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  1. #1
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    The Complete Openai And Gpt Course - Build A Q&A Chatbot




    The Complete Openai And Gpt Course - Build A Q&A Chatbot
    Published 2/2023
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 2.05 GB | Duration: 5h 15m

    Master OpenAI's GPT, Semantic Search, Embeddings, and Q&A to build a Financial Assistant. Beginner friendly.

    What you'll learn
    The foundations of GPT and generative text - Large Language Models (LLM), Prompt Engineering
    Receiver Augmented Generation (RAG) for Question Answering - its use cases and challenges, and real world implementation
    Finetuning GPT models and their best practices, when and when not to fine tune.
    Best practice strategies for troubleshooting issues with OpenAI APIs
    Semantic Search - theory and Implementation
    Vector databases, Pinecone - how they work, code samples
    How to choose the right GPT model for completion and classification tasks
    Understand how to use OpenAI's APIs and their production best practices
    Tackling the LLM hallucination problem - what the problem is, and specific strategies to mitigate it.
    Requirements
    Prior exposure to Python and Pandas. You don't need to be an experienced Python and Pandas developer, but the ability to follow along and understand syntax is needed.
    Github and Google accounts (free)
    Description
    Note: This course assumes that you have gotten the basics of Python and Pandas down. You don't need to be an experienced Python and Pandas developer, but the ability to follow along and understand syntax is needed.Take your AI development skills to the next level with this course!In this course, you will learn how to build an AI assistant powered by OpenAI's GPT technology, HuggingFace, and Streamlit. In addition, you will learn the foundational concepts of GPT and generative AI, such as Large Language Models, Prompt Engineering, Semantic Search, Finetuning, and more. You will also understand how to use OpenAI's APIs and their best practices, with real world code samples.Unlike other courses, you will learn by doing. You will start with a blank app, and add features one at a time. Before adding a new feature, you will learn just enough theory to confidently build your app.You will get all the code samples, including Google colab notebooks, and access to the Q&A forum if you get stuck. You don't need a powerful PC or Mac that has GPUs to take this course. By the end of the course, you will be able to deploy and create your first app using OpenAI's technology, and be confident about the theoretical knowledge behind this technology. So sign up today and start building your AI powered app!What you will learn:Creating an AI chatbot with StreamlitIntentClassifiers - what they are, how to build it.Prompt Engineering: different ways of crafting the perfect promptHow to evaluate and choose the best promptThe concept of word embeddingsHow to use word embeddings to quantify semantic similarityHow to use a vector database to store word embeddingsHow to create a search engine that searches based on word embeddingsHow to perform entity resolution for documentsSentiment extraction using GPTHow to clean a finance dataset for use in a semantic searchHow to embed finance documents and upload them to a vector databaseHow to use a language model to generate answers to questionsHow to use fine-tuning to ensure the language model does not hallucinateHow to deploy a Q&A bot and a custom action system.
    Overview
    Section 1: Introduction
    Lecture 1 Introduction
    Lecture 2 Course Logistics and Important Announcements
    Lecture 3 What We Are Building & Problem Statement
    Lecture 4 FAQ
    Lecture 5 Important Disclaimers
    Section 2: Project 0: Create a ChatGPT Clone with Python and Streamlit
    Lecture 6 Course Setup
    Lecture 7 Course Project Solutions
    Lecture 8 Building a ChatGPT Clone in 50 lines of Code
    Lecture 9 Integrating OpenAI
    Section 3: GPT3, Prompt Engineering, and LLMs
    Lecture 10 ChatGPT, GPT3, InstructGPT - How They Work
    Lecture 11 Prompt Engineering and Advanced GPT Parameters
    Lecture 12 Why GPT Disrupted AI Industry
    Section 4: Project 1: Intent Classifier
    Lecture 13 IntentClassifier - What It is, Why It's Important
    Lecture 14 Prompts for Classification Problems (Notebook)
    Lecture 15 Evaluation GPT3.5 for Classification (Notebook)
    Lecture 16 Integrate Intent Classifier into the App
    Section 5: Limits of GPT - What It Can't Do
    Lecture 17 Limitations of GPT - Knowledge Cutoff, Data Gaps, Token Limits
    Lecture 18 Limits of GPT - Reasoning, Chain of Thought Prompting
    Section 6: Project 2: Semantic Search and Retrievers
    Lecture 19 Semantic Search Based Retrieval
    Lecture 20 Word and Sentence Embeddings (Notebook)
    Lecture 21 Semantic Search (Notebook)
    Lecture 22 Vector Databases, Pinecone, Nearest Neighbor Search
    Lecture 23 Integrating News Article Retriever into App
    Section 7: Project 3: Retriever Augmented Question Answering and Fine Tuninng
    Lecture 24 Question Answering with GPT, and Finetuning GPT Models
    Lecture 25 Question Answering, Strategies for Handling Hallucinations (Notebook)
    Lecture 26 Question Answering and Finetuning GPT (Notebook)
    Lecture 27 Generative Labeling, Finetuning GPT, Model Evaluation (Notebook)
    Lecture 28 App Integration
    Section 8: Project 4: Summarization, External System Integration
    Lecture 29 Document Summarization with GPT
    Lecture 30 Summarization with GPT (Notebook)
    Lecture 31 Adding Real Time Financial Charts (Notebook)
    Lecture 32 App Integration
    Lecture 33 Deployment
    Python developers with some Pandas experience who are eager to build their first AI app using GPT library


    Download link

    rapidgator.net:
    Kod:
    https://rapidgator.net/file/cbb058565888b28c77158a1a09890ca1/spjqk.The.Complete.Openai.And.Gpt.Course..Build.A.QA.Chatbot.part1.rar.html
    https://rapidgator.net/file/3b84212b76871e61359ec51e0203fa8f/spjqk.The.Complete.Openai.And.Gpt.Course..Build.A.QA.Chatbot.part2.rar.html
    https://rapidgator.net/file/1032cd4ea45414cbf732277a661db13a/spjqk.The.Complete.Openai.And.Gpt.Course..Build.A.QA.Chatbot.part3.rar.html
    uploadgig.com:
    Kod:
    https://uploadgig.com/file/download/6806719aC75724cb/spjqk.The.Complete.Openai.And.Gpt.Course..Build.A.QA.Chatbot.part1.rar
    https://uploadgig.com/file/download/D061Eb1895F05a36/spjqk.The.Complete.Openai.And.Gpt.Course..Build.A.QA.Chatbot.part2.rar
    https://uploadgig.com/file/download/a9fca3e524F38fb7/spjqk.The.Complete.Openai.And.Gpt.Course..Build.A.QA.Chatbot.part3.rar
    nitroflare.com:
    Kod:
    https://nitroflare.com/view/BD13F0DD8BAA20A/spjqk.The.Complete.Openai.And.Gpt.Course..Build.A.QA.Chatbot.part1.rar
    https://nitroflare.com/view/34550EACAB2662D/spjqk.The.Complete.Openai.And.Gpt.Course..Build.A.QA.Chatbot.part2.rar
    https://nitroflare.com/view/DD76CF856C46CA3/spjqk.The.Complete.Openai.And.Gpt.Course..Build.A.QA.Chatbot.part3.rar

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    Cevap: The Complete Openai And Gpt Course - Build A Q&A Chatbot

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    Cevap: The Complete Openai And Gpt Course - Build A Q&A Chatbot

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    Cevap: The Complete Openai And Gpt Course - Build A Q&A Chatbot

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