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Running LLMs on Laptop | Open Web UI for local ChatGPT like UI | Tools & Techniques - Edition 4
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Hi folks, welcome to another new edition of Tools and Techniques! In this video, we dive into how to run Large Language Models (LLMs) locally on your machine, specifically on your laptop. I will show you how to install LLMs using a tool called Ollama and interact with them through a familiar ChatGPT-like interface.
Key Points Covered:
1. Installing LLMs Locally: Learn how to download and install various LLMs such as Google's Gemma, Meta's Llama 3, Qen, Deep Seek, and Mistral.
2. Running LLMs Locally Understand how to run these models on your machine without an internet connection.
3. Using Open Web UI: Discover how to use a user-friendly interface similar to ChatGPT for interacting with locally installed LLMs.
4. Benefits of Local LLMs: Explore the advantages of using LLMs locally, including cost savings and offline functionality.
Commands and Tools:
- Ollama: Framework for downloading and running LLMs.
- Open Web UI: Tool for a user-friendly interface to interact with LLMs.
- Docker: Required for running Open Web UI.
Advantages:
- Offline operation
- Cost-effective learning
- Flexibility to switch between different LLMs
Stay tuned for the next video where we will discuss using locally run LLMs to create your own Retrieval-Augmented Generation (RAG) system.
Links:
#LLM #LargeLanguageModels #Ollama #OpenWebUI #MachineLearning #ArtificialIntelligence #LocalLLMs #OfflineAI #TechTutorial #AIDevelopment
Don't forget to like, comment, share the video, and subscribe to the channel. Take care and bye!
Chapters
00:00 - Introduction to Tools and Techniques
00:34 - Installing LLMs Locally with Ollama
01:24 - Exploring Available Models
01:52 - Downloading and Running Gamma Model
03:00 - Testing LLMs Offline
04:13 - Benefits of Multiple LLMs
04:37 - User Interface with Open Web UI
06:14 - Installing and Running Open Web UI
Key Points Covered:
1. Installing LLMs Locally: Learn how to download and install various LLMs such as Google's Gemma, Meta's Llama 3, Qen, Deep Seek, and Mistral.
2. Running LLMs Locally Understand how to run these models on your machine without an internet connection.
3. Using Open Web UI: Discover how to use a user-friendly interface similar to ChatGPT for interacting with locally installed LLMs.
4. Benefits of Local LLMs: Explore the advantages of using LLMs locally, including cost savings and offline functionality.
Commands and Tools:
- Ollama: Framework for downloading and running LLMs.
- Open Web UI: Tool for a user-friendly interface to interact with LLMs.
- Docker: Required for running Open Web UI.
Advantages:
- Offline operation
- Cost-effective learning
- Flexibility to switch between different LLMs
Stay tuned for the next video where we will discuss using locally run LLMs to create your own Retrieval-Augmented Generation (RAG) system.
Links:
#LLM #LargeLanguageModels #Ollama #OpenWebUI #MachineLearning #ArtificialIntelligence #LocalLLMs #OfflineAI #TechTutorial #AIDevelopment
Don't forget to like, comment, share the video, and subscribe to the channel. Take care and bye!
Chapters
00:00 - Introduction to Tools and Techniques
00:34 - Installing LLMs Locally with Ollama
01:24 - Exploring Available Models
01:52 - Downloading and Running Gamma Model
03:00 - Testing LLMs Offline
04:13 - Benefits of Multiple LLMs
04:37 - User Interface with Open Web UI
06:14 - Installing and Running Open Web UI
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