Run AI models with ollama to get them up and running for various tasks.
Automations like: using Kimi-K2.5 to classify text, or GLM-5 to generate human-like responses, to build custom chatbots or content generators.
Using ollama saves time and effort by providing pre-built AI models that can be easily integrated into projects, instead of building them from scratch. This also allows for faster testing and deployment of AI-powered applications.
"A solo developer wants to build a custom chatbot for their website. They use ollama to run the GLM-5 model, which generates human-like responses to user queries. The developer then integrates the chatbot with their website's messaging system, allowing users to interact with the chatbot. The outcome is a functional chatbot that can provide basic support to users."
A beginner should pick up ollama when they want to explore AI models and build simple projects, such as a text classifier or a chatbot, without needing to build the models from scratch.
A senior engineer would reach for ollama when they need to quickly deploy a custom AI model for a project, or when they want to test and compare the performance of different AI models in a specific task.
Ollama is not an AI model itself, but rather a tool that allows users to run and deploy various AI models, such as Kimi-K2.5 or GLM-5, for different tasks.
Ollama allows founders to instantly deploy top open-source AI models locally, without relying on cloud dependencies, ensuring complete privacy and control over their AI applications.
go install github.com/ollama/ollama/cmd/ollama@latest./ollama --model kimi-k2.5 --prompt 'Write a short story about a character who discovers a hidden world.'
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