Ollama is an open-source project that enhances access to Llama.cpp, enabling local AI capabilities on PCs, which improves user privacy and reduces costs.

This AI assistant can operate both in the cloud and locally, offering advantages such as enhanced privacy, availability, and access to a broader range of open-source models.

NVIDIA GPUs, equipped with Tensor Cores, are crucial for powering AI applications by facilitating rapid processing of complex calculations.

The integration of AI across various applications is improving efficiency in tasks such as web browsing and content creation.

Generative AI continues to significantly impact fields like gaming and videoconferencing, with ongoing developments highlighted in the AI Decoded newsletter.

The Llama.cpp library, utilized by Brave, provides Tensor Core acceleration for various large language models (LLMs), optimizing AI tasks.

Leo AI, Brave's new smart assistant, is powered by NVIDIA's RTX technology, enhancing its performance through local processing of large language models.

With Ollama and NVIDIA's RTX technology, the Llama 3 8B model can process up to 149 tokens per second, ensuring rapid responses to user queries.

Leo AI is designed to improve user experiences by summarizing content, extracting insights, and answering questions directly within the Brave browser.

Local processing of AI models significantly boosts privacy by keeping user data on the device and reducing reliance on cloud services.

Users can easily install Ollama and download supported models, allowing them to switch between cloud and local AI models as needed.

Maximizing the performance of AI hardware relies heavily on software efficiency, with inference libraries translating AI requests into hardware instructions.