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udemy chatgpt langchain complete developer s masterclass fco

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Lynda and other Courses >>> https://freecoursesonline.me/ Forum for discussion >>> https://onehack.us/ https://get.freecoursesonline.me/wp-content/uploads/2023/12/5601166_42dd_2.jpg Udemy - ChatGPT And LangChain: The Complete Developer's Masterclass [FCO] About Intensive masterclass on ChatGPT, LangChain, and Python. Make production-ready apps focused on real-world AI integration What you'll learn • Integrate ChatGPT into production-style apps with LangChain • Use LangChain components to build complex text generation pipelines • Enhance ChatGPT's output by automatically integrating user feedback • Teach ChatGPT new facts through Retrieval Augmented Generation • Extend LangChain to implement server-to-browser text streaming • Use OpenAI Plugins to add new capabilities to ChatGPT, such as database access and code execution • Understand every line of code we write so you can use these exact same techniques on your own projects • Build your own chat-with-a-PDF web application, complete with document upload and authentication • See how users interact with your chat features using observability and tracing Description You've found the most advanced, most complete, and most intensive masterclass online for learning how to integrate LangChain and ChatGPT into production-ready applications! Thousands of engineers have learned how to build amazing applications using ChatGPT, and you can too. This course uses a time-tested, battle-proven method to make sure you understand exactly how ChatGPT works, and is the perfect pathway to help you get a new job as a software engineer working on AI-enabled apps. The difference between this course and all the others: you will go far beyond the basics of simple ChatGPT prompts, and understand how companies are integrating text generation into their apps today. ChatGPT is being used across industries to enhance applications with text generation. But with this new feature comes many challenges: Building complex text generation pipelines that incorporate outside information Creating reusable configuration components that can be reassembled in different ways Applying user feedback (like upvotes/downvotes) to enhance ChatGPT's output Wiring in observability and tracing to see how users are interacting with your AI Generate text performantly using distributed processing This course will walk you through production-ready, repeatable techniques for addressing each of these challenges and many more. What will you build? This course focuses on creating a series of different projects of increasing complexity. You'll start from the very basics, understanding how to access ChatGPT 4 programatically. From there, we will quickly increase in complexity, building more complex projects with many more features. By the end, you will make a fully-featured web app that implements a "Chat-with-a-PDF" feature. Note: no previous web development experience is required. Here's a partial list of some of the topics you'll cover: • Understand how complex text-generation pipelines work • Write reusable code using chains provided by LangChain • Connect chains together in different ways to dramatically change your apps behavior with ease • Store, retrieve, and summarize chat messages using conversational memory • Implement semantic search for Retrieval-Augmented Generation using embeddings • Generate and store embeddings in vector databases like ChromaDB and Pinecone • Use retrievers to refine, reduce, and rank context documents, teaching ChatGPT new information • Create agents to automatically accomplish tasks for you using goals you define • Write tools and plugins to allow ChatGPT to access the outside world • Maintain a consistent focus on performance through distributed processing using Celery and Redis • Extend LangChain to implement server-to-browser text streaming • Improve ChatGPT's output quality through user-generated feedback mechanisms • Get visibility into how users interact with your text generation features by using tracing There are a ton of courses that show how to use ChatGPT at a very basic level. This is one of the very few courses online that goes far beyond the basics to teach you advanced techniques that top companies are using today. I have a passion for teaching topics the right way - the way that you'll actually use technology in the real world. Sign up today and join me! Who this course is for: • Software engineers looking to add AI into their apps Requirements • Basic programming experience with Python Instructor(s) Stephen Grider has been building complex Javascript front ends for top corporations in the San Francisco Bay Area. With an innate ability to simplify complex topics, Stephen has been mentoring engineers beginning their careers in software development for years, and has now expanded that experience onto Udemy, authoring the highest rated React course. He teaches on Udemy to share the knowledge he has gained with other software engineers. Invest in yourself by learning from Stephen's published courses. Media Information: MP4 | Video: h264, 1920x1080 | Audio: AAC, 24 KHz, 2 Ch Genre: eLearning | Language: English | Last updated: 12/2023 | Duration: 133 lectures ( 12h 3m ) | Author: Stephen Grider Course Source: https://www.udemy.com/course/chatgpt-and-langchain-the-complete-developers-masterclass/

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7 - Pinecone as a Vector Database/70 - Loading and Splitting From a PDF English.srt 5.7 KB
7 - Pinecone as a Vector Database/70 - Loading and Splitting From a PDF.mp4 24.8 MB
7 - Pinecone as a Vector Database/71 - Sample PDF.html 210 bytes
7 - Pinecone as a Vector Database/71 - spice.pdf 339.9 KB
7 - Pinecone as a Vector Database/72 - Running File Upload Server Locally.html 731 bytes
7 - Pinecone as a Vector Database/72 - local-do-files.zip 1.6 KB
7 - Pinecone as a Vector Database/73 - Testing the PDF Upload English.srt 3.8 KB
7 - Pinecone as a Vector Database/73 - Testing the PDF Upload.mp4 19.2 MB
7 - Pinecone as a Vector Database/74 - Introducing Pinecone English.srt 11.2 KB
7 - Pinecone as a Vector Database/74 - Introducing Pinecone.mp4 33.9 MB
7 - Pinecone as a Vector Database/75 - 009-app.zip 2.1 MB
7 - Pinecone as a Vector Database/75 - Initializing the Pinecone Client English.srt 9.3 KB
7 - Pinecone as a Vector Database/75 - Initializing the Pinecone Client.mp4 15.8 MB
7 - Pinecone as a Vector Database/76 - 010-app.zip 2.1 MB
7 - Pinecone as a Vector Database/76 - Adding Documents to the Vector Store English.srt 6.5 KB
7 - Pinecone as a Vector Database/76 - Adding Documents to the Vector Store.mp4 27.5 MB
8 - Distributed Text Generation with Celery/77 - Why is Processing Taking Forever English.srt 10.4 KB
8 - Distributed Text Generation with Celery/77 - Why is Processing Taking Forever.mp4 31.8 MB
8 - Distributed Text Generation with Celery/78 - Introducing Background Jobs English.srt 12.6 KB
8 - Distributed Text Generation with Celery/78 - Introducing Background Jobs.mp4 38.0 MB
8 - Distributed Text Generation with Celery/79 - Redis Setup English.srt 3.2 KB
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8 - Distributed Text Generation with Celery/80 - Redis MacOS Setup.html 597 bytes
8 - Distributed Text Generation with Celery/81 - Redis Ubuntu and Windows Subsystem for Linux Setup.html 978 bytes
8 - Distributed Text Generation with Celery/82 - Redis Windows Setup Without WSL.html 2.2 KB
8 - Distributed Text Generation with Celery/83 - 014-app.zip 2.1 MB
8 - Distributed Text Generation with Celery/83 - Adding in the Worker English.srt 6.6 KB
8 - Distributed Text Generation with Celery/83 - Adding in the Worker.mp4 27.3 MB
8 - Distributed Text Generation with Celery/84 - 015-app.zip 2.1 MB
8 - Distributed Text Generation with Celery/84 - Queuing Up Jobs English.srt 6.7 KB
8 - Distributed Text Generation with Celery/84 - Queuing Up Jobs.mp4 16.9 MB
8 - Distributed Text Generation with Celery/85 - 016-app.zip 2.1 MB
8 - Distributed Text Generation with Celery/85 - Updating Document Metadata English.srt 11.6 KB
8 - Distributed Text Generation with Celery/85 - Updating Document Metadata.mp4 57.5 MB
9 - Custom Message Histories/86 - Understanding the Apps Requirements English.srt 13.5 KB
9 - Custom Message Histories/86 - Understanding the Apps Requirements.mp4 38.6 MB
9 - Custom Message Histories/87 - Persistent Message Storage English.srt 19.1 KB
9 - Custom Message Histories/87 - Persistent Message Storage.mp4 72.5 MB
9 - Custom Message Histories/88 - Introducing the Conversational Retrieval Chain English.srt 17.4 KB
9 - Custom Message Histories/88 - Introducing the Conversational Retrieval Chain.mp4 80.0 MB
9 - Custom Message Histories/89 - 020-app.zip 2.1 MB
9 - Custom Message Histories/89 - Building the Retriever English.srt 7.5 KB
9 - Custom Message Histories/89 - Building the Retriever.mp4 30.8 MB
9 - Custom Message Histories/90 - Custom History Objects English.srt 7.6 KB
9 - Custom Message Histories/90 - Custom History Objects.mp4 18.6 MB
9 - Custom Message Histories/91 - 022-app.zip 2.1 MB
9 - Custom Message Histories/91 - Building a Custom SQL History English.srt 13.0 KB
9 - Custom Message Histories/91 - Building a Custom SQL History.mp4 29.4 MB
9 - Custom Message Histories/92 - 023-app.zip 2.1 MB
9 - Custom Message Histories/92 - Testing the Chain English.srt 7.5 KB
9 - Custom Message Histories/92 - Testing the Chain.mp4 41.7 MB
FreeCoursesOnline.me Download Udacity, Masterclass, Lynda, PHLearn, etc Free.url 290 bytes
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