Build a Local LLM Chatbot with Ollama and Python

This tutorial guides users through building a local LLM chatbot using Ollama and Python. It highlights the benefits of running models locally, such as enhanced privacy and cost savings compared to cloud-based services like OpenAI and Anthropic. The process involves installing Ollama, downloading a model like Llama 3.2, setting up a Python environment with necessary libraries (langchain, langchain-ollama), and writing a Python script to interact with the local LLM. AI

IMPACT Enables users to run LLMs locally for privacy and cost savings, bypassing cloud provider fees and data concerns.

RANK_REASON Tutorial on using Ollama and Python to build a local LLM chatbot.

Read on dev.to — LLM tag →

• Anthropic
• Llama 3
• Llama~3.2
• Mistral AI
• Ollama
• OpenAI
• Phi 3
• Python

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