Opting for local language models (LLMs) over online chatbots offers significant benefits beyond privacy. As Pistilli points out, “Technology means power,” indicating that controlling local models allows users to retain more autonomy. Relying on local models minimizes unpredictability, as major AI providers frequently adjust their systems—sometimes leading to undesirable behavior. Even though local models may be less powerful than leading options from larger companies, they help users recognize inconsistencies and hallucinations, fostering a deeper understanding of AI capabilities. Getting started with local LLMs doesn’t require advanced coding skills. Ollama is a straightforward choice for users familiar with command lines, while LM Studio offers a user-friendly interface for those less comfortable with code. Users can explore various models from Hugging Face within LM Studio, selecting options suited to their hardware specifications. Experimenting with different models can enhance AI literacy and usability, making the local LLM experience both engaging and educational.
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