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Exploring local large language models, this video details how to leverage O Llama and LM Studio to build applications with Semantic Kernel. Access to Azure Open AI is restricted, and using the Open AI API incurs costs, making local hosting appealing. O Llama enables interaction with models like Llama 3, while LM Studio provides a user-friendly interface for model interaction. The tutorial guides through downloading, setting up models, and creating a semantic kernel application for fitness-related queries, showcasing both terminal commands and UI-based interactions.
Introduction to local large language models and Semantic Kernel usage.
Overview of O Llama for running large language models locally.
Creating an exercise bot using custom prompts in Semantic Kernel.
Introduction to LM Studio for user-friendly local model interaction.
Leveraging local AI models with frameworks like Semantic Kernel opens new avenues for developers. The shift from cloud-based to local environments can enhance privacy and reduce costs, catering to niche applications in fitness and beyond. As seen with O Llama and LM Studio, developers can create tailored user experiences and maintain control over their AI implementations, a vital move as data privacy concerns grow.
The discussion on local server implementations of large language models reflects a broader trend toward decentralized AI. This approach can minimize latency and improve response times for applications by reducing dependency on external APIs. Companies should assess the infrastructure requirements for running such models efficiently, considering factors like hardware capacity and model optimization to ensure effectiveness.
O Llama facilitates the deployment of models like Llama 3 for direct interaction.
It allows integration with local model servers for enhanced capabilities.
It offers a UI for interacting with models, contrasting with command-line interfaces.
Mentioned in the video as a provider of AI services that incur costs for use.
Discussed as a platform requiring access for using AI capabilities.
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