Learn how to use Ollama to work with LLMs. Also, create a ChatGPT-like model locally with Ollama.

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Welcome to the Ollama Course. Ollama is an open-source platform to download, install, manage, run, and deploy large language models (LLMs). All this can be done locally with Ollama. LLM stands for Large Language Model. These models are designed to understand, generate, and interpret human language at a high level.
Features of Ollama:
Model Library: Offers a variety of pre-built models like Llama 3.2, Mistral, etc.
Customization: Allows you to customize and create your own models
Easy: Provides a simple API for creating, running, and managing models
Cross-Platform: Available for macOS, Linux, and Windows
Modelfile: Packages everything you need to run an LLM into a single Modelfile, making it easy to manage and run models Popular LLMs, such as Llama by Meta, Mistral, Gemma by Google's DeepMind, Phi by Microsoft, Qwen by Alibaba Clouse, etc., can run locally using Ollama.
In this course, you will learn about Ollama and how it eases the work of a programmer running LLMs. We have discussed how to begin with Ollama, install, and tune LLMs like Lama, Mistral, etc. We have also covered how to customize a model and create a teaching assistant like ChatBot locally by creating a modefile.
Learn what is Ollama
Work with different LLMs using Ollama locally
Create a custom ChatGPT-like model with Ollama
Learn to use the Ollama commands
Customize a model locally
Learn to run LLMs locally on your system
Knowledge of the internet and a web browser
Beginner Machine Learning Developers
Those who want to create a model
Those who want to run LLMs locally
Those who want to install any open-source LLM locally
Those who want to learn what is Ollama, Llama, Mistral, etc.
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