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L 2 Ollama | Run LLMs locally
Generative AI Tutorials
Running large language models (LLMs) on your local machine can be incredibly useful, whether you're experimenting with LLMs or developing more advanced applications. However, setting up the necessary environment and getting LLMs to work locally can be quite challenging. So, how can you run LLMs locally without the usual complications? Meet Ollama—a platform that simplifies local development with open-source LLMs. Ollama packages everything you need to run an LLM, including model weights and configuration, into a single Modelfile. In this tutorial, we'll explore how to get started with Ollama to run LLMs locally. You can visit the model library to see the list of all supported model families. The default model downloaded is the one with the latest tag. Each model's page provides additional information, such as size and quantization used. #llms #ollama #generativeai #genai #languagemodels #largelanguagemodels #deeplearning
About the course
Welcome to our Generative AI playlist! This curated collection of videos explores the exciting and rapidly evolving field of Generative Artificial Intelligence. Throughout this playlist, you'll find comprehensive guides on various large language models (LLMs), including their capabilities, applications, and how to utilize them effectively. We'll also dive deep into LangChain, a powerful tool for building generative AI applications. Whether you're a beginner looking to understand the basics or an experienced developer seeking advanced insights, this playlist has something for everyone. Join us as we uncover the potential of Generative AI and learn how to leverage it for innovative solutions!
20lessons
3hours
Lessons
- L-1 Generative AI for Beginners
- L-1 Generative AI for Beginners
- L 2 Ollama | Run LLMs locally
- L 2 Ollama | Run LLMs locally
- L-3 LangChain Explained | Building Generative AI Apps from Scratch
- L-3 LangChain Explained | Building Generative AI Apps from Scratch
- L-4 Step-by-Step Guide to Building a ChatGPT Clone
- L-4 Step-by-Step Guide to Building a ChatGPT Clone
- L-5 Chat with database using LangChain
- L-5 Chat with database using LangChain
- Run Llama 3.1 locally using LangChain
- Run Llama 3.1 locally using LangChain
- L-7 RAG (Retrieval Augmented Generation)
- L-7 RAG (Retrieval Augmented Generation)
- L-8 Build a Q&A App with RAG using Gemini Pro and Langchain
- L-8 Build a Q&A App with RAG using Gemini Pro and Langchain
- L-9 Build a Q&A App with RAG, LangChain, and Open-Source LLMs | Step-by-Step Guide
- L-9 Build a Q&A App with RAG, LangChain, and Open-Source LLMs | Step-by-Step Guide
- L-10 RAG Vs Fine-tuning
- L-10 RAG Vs Fine-tuning