Practical AI Rise of the AI PC & local LLMs
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Jun 4, 2024 Explore the surge in local AI models and their fascinating integration into AI PCs from tech giants like NVIDIA, Apple, and Intel. Discover the benefits and challenges of running AI models locally versus in the cloud, as well as the importance of optimizing hardware for better performance. Learn about the benchmarks being established for AI workloads and how these advancements are reshaping the future of technology. Dive into the world of large language models and their promise to refine AI capabilities, including overcoming common challenges.
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Rise of Local AI
- Local AI models are gaining popularity due to advancements in hardware and software.
- This shift is similar to previous trends where computing oscillates between local and cloud environments.
Cloud vs. Local
- Both cloud-based and local AI models have their place, mirroring the coexistence of various database deployment strategies.
- Local models cater to privacy, security, latency, and offline needs.
Local Model Tools
- Explore tools like LM Studio, Ollama, and Llama.cpp for running LLMs locally.
- These offer user-friendly interfaces or APIs for local model interaction.