General AI
Building LLM-Powered Web Apps with Client-Side Technology
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Why it matters
- →This approach reduces costs for developers by eliminating API usage fees. • It enhances user privacy by keeping data local and not sending it to external servers. • The use of local models could lead to faster response times in web applications.
Jacob Lee discusses a novel method for creating web applications powered by local large language models (LLMs) in a guest blog post. The approach focuses on client-side technology, allowing developers to avoid costs associated with API calls while enhancing user privacy. Lee details the process of building a Retrieval-Augmented Generation (RAG) application using tools like LangChain, HuggingFace, and Ollama, ultimately demonstrating the feasibility of running powerful models like Mistral 7B on local hardware. This method highlights the potential for future web applications to leverage local AI models effectively.
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