Udemy | ChatGPT And LangChain: The Complete Developer's Masterclass [FCO] (download torrent)

Udemy | ChatGPT And LangChain: The Complete Developer's Masterclass [FCO]

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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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0. Websites you may like/1. OneHack.us Premium Cracked Accounts-Tutorials-Guides-Articles Community Based Forum.url	377 B
0. Websites you may like/2. FTUApps.com Download Cracked Developers Applications For Free.url	239 B
1 - Lets Start Dive In Here/1 - How to Get Help English.srt	2.15 KiB
1 - Lets Start Dive In Here/1 - How to Get Help.mp4	2.21 MiB
1 - Lets Start Dive In Here/2 - What is LangChain English.srt	6.93 KiB
1 - Lets Start Dive In Here/2 - What is LangChain.mp4	41.33 MiB
1 - Lets Start Dive In Here/3 - How a Typical AIEnabled App Works English.srt	17.16 KiB
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1 - Lets Start Dive In Here/4 - Here It Is This is Why We Use LangChain English.srt	8.81 KiB
1 - Lets Start Dive In Here/4 - Here It Is This is Why We Use LangChain.mp4	32.86 MiB
1 - Lets Start Dive In Here/5 - Course Resources.html	727 B
1 - Lets Start Dive In Here/5 - diagrams.zip	42.51 MiB
1 - Lets Start Dive In Here/6 - Join Our Community.html	404 B
10 - Streaming Text Generation/100 - The Chain Really Wants to Wait English.srt	6.96 KiB
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10 - Streaming Text Generation/101 - Solving the Slow Chain English.srt	4.91 KiB
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10 - Streaming Text Generation/102 - 033-pdf.zip	2.15 MiB
10 - Streaming Text Generation/102 - It Works English.srt	4.29 KiB
10 - Streaming Text Generation/102 - It Works.mp4	18.48 MiB
10 - Streaming Text Generation/103 - 034-pdf.zip	2.15 MiB
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10 - Streaming Text Generation/93 - Streaming Text Generation English.srt	6.61 KiB
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10 - Streaming Text Generation/95 - 026-pdf.zip	2.15 MiB
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10 - Streaming Text Generation/98 - 029-pdf.zip	2.15 MiB
10 - Streaming Text Generation/98 - Extending a LLM Chain English.srt	15.53 KiB
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10 - Streaming Text Generation/99 - 030-pdf.zip	2.15 MiB
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11 - Extending LangChain/104 - 035-pdf.zip	2.15 MiB
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11 - Extending LangChain/107 - 038-pdf.zip	2.15 MiB
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14 - Bonus/133 - Bonus.html	3.61 KiB
2 - ChatGPT and LangChain Integration/10 - Using LangChain the Simple Way English.srt	4.88 KiB
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6 - Empower ChatGPT with Tools and Agents/58 - Tools with Multiple Arguments.mp4	68.46 MiB
6 - Empower ChatGPT with Tools and Agents/59 - Memory vs Agent Scratchpad English.srt	15.02 KiB
6 - Empower ChatGPT with Tools and Agents/59 - Memory vs Agent Scratchpad.mp4	64.62 MiB
6 - Empower ChatGPT with Tools and Agents/60 - 015-agents.zip	389.35 KiB
6 - Empower ChatGPT with Tools and Agents/60 - Preserving Messages with Agent Executor English.srt	4.2 KiB
6 - Empower ChatGPT with Tools and Agents/60 - Preserving Messages with Agent Executor.mp4	25.67 MiB
6 - Empower ChatGPT with Tools and Agents/61 - Understanding Callbacks English.srt	7.85 KiB
6 - Empower ChatGPT with Tools and Agents/61 - Understanding Callbacks.mp4	34.59 MiB
6 - Empower ChatGPT with Tools and Agents/62 - Implementing a Basic Callback Handler English.srt	7.74 KiB
6 - Empower ChatGPT with Tools and Agents/62 - Implementing a Basic Callback Handler.mp4	57.93 MiB
6 - Empower ChatGPT with Tools and Agents/63 - 018-agents.zip	392.49 KiB
6 - Empower ChatGPT with Tools and Agents/63 - More Handler Implementaion English.srt	17.75 KiB
6 - Empower ChatGPT with Tools and Agents/63 - More Handler Implementaion.mp4	105.66 MiB
7 - Pinecone as a Vector Database/64 - App Overview English.srt	4.31 KiB
7 - Pinecone as a Vector Database/64 - App Overview.mp4	9.04 MiB
7 - Pinecone as a Vector Database/65 - Taking a Look at Mockups English.srt	6.08 KiB
7 - Pinecone as a Vector Database/65 - Taking a Look at Mockups.mp4	16.35 MiB
7 - Pinecone as a Vector Database/66 - Boilerplate Download.html	544 B
7 - Pinecone as a Vector Database/66 - pdf-dist.zip	2.22 MiB
7 - Pinecone as a Vector Database/67 - Boilerplate Setup English.srt	8.62 KiB
7 - Pinecone as a Vector Database/67 - Boilerplate Setup.mp4	23.54 MiB
7 - Pinecone as a Vector Database/68 - How This App is Designed English.srt	10.87 KiB
7 - Pinecone as a Vector Database/68 - How This App is Designed.mp4	42.48 MiB
7 - Pinecone as a Vector Database/69 - Outlining the First Feature English.srt	7.62 KiB
7 - Pinecone as a Vector Database/69 - Outlining the First Feature.mp4	17.96 MiB
7 - Pinecone as a Vector Database/70 - Loading and Splitting From a PDF English.srt	5.73 KiB
7 - Pinecone as a Vector Database/70 - Loading and Splitting From a PDF.mp4	24.82 MiB
7 - Pinecone as a Vector Database/71 - Sample PDF.html	21 B
7 - Pinecone as a Vector Database/71 - spice.pdf	339.93 KiB
7 - Pinecone as a Vector Database/72 - Running File Upload Server Locally.html	731 B
7 - Pinecone as a Vector Database/72 - local-do-files.zip	1.64 KiB
7 - Pinecone as a Vector Database/73 - Testing the PDF Upload English.srt	3.79 KiB
7 - Pinecone as a Vector Database/73 - Testing the PDF Upload.mp4	19.23 MiB
7 - Pinecone as a Vector Database/74 - Introducing Pinecone English.srt	11.24 KiB
7 - Pinecone as a Vector Database/74 - Introducing Pinecone.mp4	33.93 MiB
7 - Pinecone as a Vector Database/75 - 009-app.zip	2.14 MiB
7 - Pinecone as a Vector Database/75 - Initializing the Pinecone Client English.srt	9.31 KiB
7 - Pinecone as a Vector Database/75 - Initializing the Pinecone Client.mp4	15.78 MiB
7 - Pinecone as a Vector Database/76 - 010-app.zip	2.14 MiB
7 - Pinecone as a Vector Database/76 - Adding Documents to the Vector Store English.srt	6.55 KiB
7 - Pinecone as a Vector Database/76 - Adding Documents to the Vector Store.mp4	27.46 MiB
8 - Distributed Text Generation with Celery/77 - Why is Processing Taking Forever English.srt	10.38 KiB
8 - Distributed Text Generation with Celery/77 - Why is Processing Taking Forever.mp4	31.79 MiB
8 - Distributed Text Generation with Celery/78 - Introducing Background Jobs English.srt	12.59 KiB
8 - Distributed Text Generation with Celery/78 - Introducing Background Jobs.mp4	37.97 MiB
8 - Distributed Text Generation with Celery/79 - Redis Setup English.srt	3.17 KiB
8 - Distributed Text Generation with Celery/79 - Redis Setup.mp4	4.38 MiB
8 - Distributed Text Generation with Celery/80 - Redis MacOS Setup.html	597 B
8 - Distributed Text Generation with Celery/81 - Redis Ubuntu and Windows Subsystem for Linux Setup.html	978 B
8 - Distributed Text Generation with Celery/82 - Redis Windows Setup Without WSL.html	2.23 KiB
8 - Distributed Text Generation with Celery/83 - 014-app.zip	2.14 MiB
8 - Distributed Text Generation with Celery/83 - Adding in the Worker English.srt	6.57 KiB
8 - Distributed Text Generation with Celery/83 - Adding in the Worker.mp4	27.29 MiB
8 - Distributed Text Generation with Celery/84 - 015-app.zip	2.14 MiB
8 - Distributed Text Generation with Celery/84 - Queuing Up Jobs English.srt	6.67 KiB
8 - Distributed Text Generation with Celery/84 - Queuing Up Jobs.mp4	16.93 MiB
8 - Distributed Text Generation with Celery/85 - 016-app.zip	2.14 MiB
8 - Distributed Text Generation with Celery/85 - Updating Document Metadata English.srt	11.59 KiB
8 - Distributed Text Generation with Celery/85 - Updating Document Metadata.mp4	57.52 MiB
9 - Custom Message Histories/86 - Understanding the Apps Requirements English.srt	13.53 KiB
9 - Custom Message Histories/86 - Understanding the Apps Requirements.mp4	38.65 MiB
9 - Custom Message Histories/87 - Persistent Message Storage English.srt	19.12 KiB
9 - Custom Message Histories/87 - Persistent Message Storage.mp4	72.45 MiB
9 - Custom Message Histories/88 - Introducing the Conversational Retrieval Chain English.srt	17.4 KiB
9 - Custom Message Histories/88 - Introducing the Conversational Retrieval Chain.mp4	79.96 MiB
9 - Custom Message Histories/89 - 020-app.zip	2.14 MiB
9 - Custom Message Histories/89 - Building the Retriever English.srt	7.51 KiB
9 - Custom Message Histories/89 - Building the Retriever.mp4	30.83 MiB
9 - Custom Message Histories/90 - Custom History Objects English.srt	7.63 KiB
9 - Custom Message Histories/90 - Custom History Objects.mp4	18.59 MiB
9 - Custom Message Histories/91 - 022-app.zip	2.15 MiB
9 - Custom Message Histories/91 - Building a Custom SQL History English.srt	13.02 KiB
9 - Custom Message Histories/91 - Building a Custom SQL History.mp4	29.37 MiB
9 - Custom Message Histories/92 - 023-app.zip	2.15 MiB
9 - Custom Message Histories/92 - Testing the Chain English.srt	7.52 KiB
9 - Custom Message Histories/92 - Testing the Chain.mp4	41.66 MiB
FreeCoursesOnline.me Download Udacity, Masterclass, Lynda, PHLearn, etc Free.url	29 B
code.zip	119.54 MiB

BitCoin: 1BqhYCvbT4Fu7tu7Rhh8gh2kZPywhCjS65

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