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Top 5 Research Trends + OpenAI Sora, Google Gemini, Groq Math (Jan-Feb 2024 Audio Recap) + Latent Space Anniversary with Lindy.ai, RWKV, Pixee, Julius.ai, Listener Q&A!

Latent Space: The AI Engineer Podcast

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Navigating the Future of AI Data and Architecture

This chapter explores the challenges of sharing effective stochastic model plans and the emerging significance of synthetic data in AI. It discusses the advancements of large language models and the implications of recent research papers, while highlighting the competitive landscape of AI architectures. The conversation also delves into mixture of experts models, model merging, and innovative approaches that shape the future of data usage in machine learning.

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