Companies like Meta are striving to shift the trend toward open-source models while currently, most available models remain closed-source, impacting access and progress in the AI space.
As LLMs and foundation models become more prevalent, Retrieval Augmented Generation (RAG) will become essential for scalable, applicable use cases, marking a pivotal evolution in AI utilization.
The rise of AI-powered hardware, particularly AI-enabled GPU infrastructure and PCs, will lead to significant innovations, as businesses recognize the need for enhanced processing capabilities.
AI safety and security are crucial in managing language models effectively; self-hosted models and open-source LLM solutions are vital components for enhancing AI's overall security posture.
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