The Local LLM Crash Course - Build an AI Chatbot in 2 hours!

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Zoltan C. Toth

1:21:08

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1. Introduction and Environment Setup

1. Introduction.mp4

00:28

2. What will you learn.mp4

00:36

3. Prerequisites and Requirements.mp4

01:08

4. Course Blueprint.mp4

01:40

5. DO NOT SKIP - How to take the most out of this course.mp4

01:40

6. BOOKMARK THESE - Course Resources.html

7. Setting up the Coding Environment.mp4

05:08

8. A Quiz on Codespaces.html

2. Getting a Local LLM to Work

1. Introduction to Huggingface.mp4

03:59

2. Finding the best the LLM for our use case.mp4

03:56

3. Further Resources on LLMs.html

4. Our Huggingface Model.html

5. Getting the LLM to Work - Completing Sentences.mp4

04:33

6. Can you make the model say the capital of India.html

7. A Prompt Engineering Trick you could use in the Exercise.mp4

01:59

8. Speeding up our LLM - Streaming the LLM Response.mp4

02:22

9. The Local LLM Quiz.html

3. Adding Chat Capabilities to the LLM

1. Understanding Prompts for Chat and Instruction.mp4

04:06

2. Python Type Hints.html

3. Implementing the LLM Chat Prompt Logic.mp4

03:01

4. Using LLama2 instead Orca.html

5. The LLM Chat Logic Quiz.html

4. Implementing Conversational Memory

1. Prompt Engineering for Achieving Conversational Memory.mp4

05:31

5. Building the Chat UI

1. Introduction to Chainlit and Chainlit Setup.mp4

04:29

2. Message Processing in Chainlit.mp4

03:21

3. Customizing Chainlit.mp4

02:15

4. Integrating our Model to the Chat UI.mp4

03:33

5. Real-time response streaming to the UI.mp4

02:48

6. Conversational Memory in Chainlit.mp4

04:36

7. The Chat UI Quiz.html

6. Capstone Exercise and Wrapping it Up

1. Capstone Exercise Multiple LLMs and History Management in Chainlit.html

2. Test what you learned!.html

3. Congrats and Wrapping Up.mp4

01:06

7. EXTRA Use LangChain to Make our Chatbot Production-Ready!

1. LangChain Introduction.mp4

01:32

2. Integrating a Hugging Face Model into LangChain and Managing Response Length.mp4

03:28

3. The LangChain Prompt Template.mp4

05:07

4. Conversational Memory in LangChain.mp4

03:19

5. Chainlits LangChain Integration & Token Streaming.mp4

05:27

Description

The only course you need to build a ChatGPT-like App in Python. Learn LLMs, Prompts, Hugging Face & LangChain Hands On!

What You'll Learn?

Learn to use Large Language Models like Llama2 and Orca in Python locally
Understand Prompt Engineering techniques for making LLMs ready to Chat
Use Hugging Face models in Python
Teach an LLM to keep Conversational Memory using Prompt Engineering
Learn to display model responses real-time, ChatGPT-style
Integrate your LLM into Modern Python Chat Interfaces like Chainlit

Who is this for?

You want to understand how to use Large Language Models can be used

You want to build your own AI Chat using Huggingface

You are interested how to implement chat functionalities for LLMs

You want to be hands-on creating your own AI chatbots

What You Need to Know?

Basic Python Programming Knowledge

A working internet connection with unrestricted access to GitHub

More details

Description
Unlock the Power of AI Chatbots on Your Own Computer!
Are you intrigued by the potential of AI but concerned about privacy and data security? Dive into the world of local large language models (LLMs) with our hands-on crash course, designed to empower you with the skills to build your very own ChatGPT-like chatbot using pure Python and later LangChain. This course cuts through the complexity, offering a direct path to deploying your LLM securely on your own devices.Â We set up the environment for you so you can head start in a minute or choose to use your own computer. No Installation Needed!Â

Why Learn From Me?
Hello, my name is Zoltan, your guide on this exciting journey. With years of experience in data engineering, machine learning, and software development, I've designed this course to bridge the gap between theoretical knowledge and practical skills. My expertise in leveraging these technologies ensures you learn from a seasoned professional. Join me to gain control over your AI applications, ensuring they're both powerful and private.
Course Highlights
Rapid Learning Path: Zero to a working local LLM in just two hours.
Modern Technologies:Â You will use Hugging Face, Chainlit and top-of-the-line LLMÂ models
Hands-On Learning: Engage in a bootcamp-style, practical coding environment from the start.
Clear Instructions: I'll ensure you understand every step on your way to building a fully functional AIÂ chatbot.

Why This Course Matters
In today's digital age, AI and chatbots are revolutionizing how we interact with technology. However, the true potential is unlocked when these tools are customized and controlled locally. Whether you're looking to enhance your personal projects, secure proprietary data, or simply curious about the inner workings of AI chatbots, this course provides valuable insights and skills. Big-name tech employers and innovative startups alike are searching for professionals who can navigate the complexities of AI while prioritizing privacy and security.

Who Should Enroll?
This course is perfect for:
Developers seeking to integrate AI into their projects without compromising on privacy.
Hobbyists interested in AI and looking for a secure, hands-on approach to learning.
Professionals aiming to enhance their resume with cutting-edge skills.
Pre-requisites: A basic understanding of programming concepts is recommended to get the most out of this course.
Not For:
Those seeking a deep theoretical overview without hands-on practice.
Individuals not comfortable with basic coding.
Your Takeaway
By the end of this course, you'll have a fully functional, locally-run AI chatbot, similar to ChatGPT, built by you. More importantly, you'll have the knowledge and confidence to apply these skills in a variety of scenarios, ensuring your digital creations remain secure and private.

Why Wait? Enroll Now!
Embrace the future of AI with confidence. This course isn't just about building a chatbot; it's about unlocking a new realm of possibilities, secure in the knowledge that you're in complete control. The course comes with a 30-day money-back guarantee, so Enroll today and take the first step toward becoming a local LLM expert!

Who this course is for:
You want to understand how to use Large Language Models can be used
You want to build your own AI Chat using Huggingface
You are interested how to implement chat functionalities for LLMs
You want to be hands-on creating your own AI chatbots

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Artificial Intelligence

Zoltan C. Toth

Instructor's Courses

I help global companies build web-scale data analytics and AI systems. Backed by 20 years of experience in developing data-intensive applications, I spend most of my time helping companies kick-off and mature their data analytics and AI infrastructure, and give Cloud, Apache Spark, Databricks and MLOps courses regularly.Earlier I built Prezi's big data analytics infrastructure, later led Prezi’s data engineering team, scaling it to serve 60 million users backed by a data volume over a petabyte. I also worked on kicking off the Spark integration component in RapidMiner, a global leader in predictive analytics.Besides working with data analytics architectures, I enjoy teaching at Central European University, one of the best independent universities in Europe, and delivering courses and professional services engagements on behalf of Databricks, the company created by the original authors of Spark.

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