28 Oct Ollama – Introduction and Features
In this lesson, learn what Ollama is, its features, and why it is so popular. 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.
You may need to run LLMs locally for enhanced security, get full control of your data, reduce risks associated with data transmission and storage on external servers, customize applications without relying on the cloud, etc.
LLM stands for Large Language Model. These models are designed to understand, generate, and interpret human language at a high level. Here are some key points about LLMs:
- Typically contains billions of parameters, allowing them to grasp complex language
patterns and generate coherent text. - Trained on vast datasets that include books, articles, websites, and other text sources.
- Can perform tasks like text generation, summarization, translation, and answering
questions.
Let us understand via a video:
Features of Ollama
The following are some 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
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Read More:
- What is Deep Learning
- Feedforward Neural Networks (FNN)
- Convolutional Neural Network (CNN)
- Recurrent Neural Networks (RNN)
- Long short-term memory (LSTM)
- Generative Adversarial Networks (GANs)
- What is Machine Learning
- What is a Machine Learning Model
- Types of Machine Learning
- Supervised vs Unsupervised vs Reinforcement Machine Learning
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