Local/Private Ai/Llm Ultra Crash Course
Local/Private Ai/Llm Ultra Crash Course
Published 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.20 GB | Duration: 2h 28m
For private Users and Companies
What you'll learn
Set up AI/LLMs locally on your computer.
Create good prompts and chat with different models.
Create own models with specific purposes.
Give context to your AI, upload files and talk about them.
Manage access to your AI for different people.
Find and compare the best models.
Text and code with your AI.
Requirements
You should have 6 to 8 GB memory on yours graphics card.
Description
Welcome to an immersive course designed to enhance your understanding and expertise in Artificial Intelligence (AI) and Large Language Models (LLMs). This course is structured to guide you through the intricate details of AI technologies, offering a blend of theoretical knowledge and practical applications.Throughout the program, you will have the unique opportunity to not only learn about AI but to also engage directly with these technologies by providing your own files and data. This hands-on approach allows you to see firsthand how AI can transform and interact with your personal or professional data, making the learning experience particularly engaging and directly applicable to real-world scenarios.A key feature of this course is the ability to customize your own AI models for specific tasks, which can lead to exceptionally good results. By tailoring AI responses and functionalities to your needs, you will gain practical experience in optimizing AI performance for various applications.Whether you're looking to conduct meaningful conversations with AI, develop applications, or explore the potential of AI tools like "Continue" and VS-Code, this course provides the essential skills and knowledge you need. Tailored for both novices and seasoned professionals, this course promises a deep dive into the AI landscape, fostering skills that are crucial in today's technology-driven world.Join us to unlock new opportunities in AI and prepare yourself for the future of technology, experiencing firsthand the thrill of bringing your own data to life through AI and achieving optimal results through customized solutions.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: How do AIs/LLMs work?
Lecture 2 Theoretical insights
Lecture 3 Practical insights
Section 3: Install your local AI/LLM
Lecture 4 Ollama installation
Lecture 5 Model types
Lecture 6 Pull/Download models
Section 4: Chat with your AI/LLM
Lecture 7 Run a simple chat
Lecture 8 Chat with a community model
Lecture 9 Create and chat with your own models
Lecture 10 Find the best model for your tasks
Section 5: Graphical user interfaces
Lecture 11 Open WebUI
Lecture 12 Anything-LLM
Lecture 13 More UIs
Section 6: Text and Code with continue.dev and VS-Code
Lecture 14 Text creation/editing
Lecture 15 Code creation/editing and advanced techniques.
Section 7: Prompting
Lecture 16 Theoretical insights
Lecture 17 Practical insights
Section 8: The End
Lecture 18 Final words and infos
Lecture 19 Community
Beginners, who want to use AI locally and privately.
What you'll learn
Set up AI/LLMs locally on your computer.
Create good prompts and chat with different models.
Create own models with specific purposes.
Give context to your AI, upload files and talk about them.
Manage access to your AI for different people.
Find and compare the best models.
Text and code with your AI.
Requirements
You should have 6 to 8 GB memory on yours graphics card.
Description
Welcome to an immersive course designed to enhance your understanding and expertise in Artificial Intelligence (AI) and Large Language Models (LLMs). This course is structured to guide you through the intricate details of AI technologies, offering a blend of theoretical knowledge and practical applications.Throughout the program, you will have the unique opportunity to not only learn about AI but to also engage directly with these technologies by providing your own files and data. This hands-on approach allows you to see firsthand how AI can transform and interact with your personal or professional data, making the learning experience particularly engaging and directly applicable to real-world scenarios.A key feature of this course is the ability to customize your own AI models for specific tasks, which can lead to exceptionally good results. By tailoring AI responses and functionalities to your needs, you will gain practical experience in optimizing AI performance for various applications.Whether you're looking to conduct meaningful conversations with AI, develop applications, or explore the potential of AI tools like "Continue" and VS-Code, this course provides the essential skills and knowledge you need. Tailored for both novices and seasoned professionals, this course promises a deep dive into the AI landscape, fostering skills that are crucial in today's technology-driven world.Join us to unlock new opportunities in AI and prepare yourself for the future of technology, experiencing firsthand the thrill of bringing your own data to life through AI and achieving optimal results through customized solutions.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: How do AIs/LLMs work?
Lecture 2 Theoretical insights
Lecture 3 Practical insights
Section 3: Install your local AI/LLM
Lecture 4 Ollama installation
Lecture 5 Model types
Lecture 6 Pull/Download models
Section 4: Chat with your AI/LLM
Lecture 7 Run a simple chat
Lecture 8 Chat with a community model
Lecture 9 Create and chat with your own models
Lecture 10 Find the best model for your tasks
Section 5: Graphical user interfaces
Lecture 11 Open WebUI
Lecture 12 Anything-LLM
Lecture 13 More UIs
Section 6: Text and Code with continue.dev and VS-Code
Lecture 14 Text creation/editing
Lecture 15 Code creation/editing and advanced techniques.
Section 7: Prompting
Lecture 16 Theoretical insights
Lecture 17 Practical insights
Section 8: The End
Lecture 18 Final words and infos
Lecture 19 Community
Beginners, who want to use AI locally and privately.