Data and Hardware Demand
Sadie highlights the growing demand for hardware and data, emphasizing the shift from mass data scraping to fine-tuning models for niche applications. As startups enter the market, there's an expectation for innovation in both hardware and data utilization. Jon agrees, noting the evolution of LLM training processes, particularly the importance of reinforcement learning from human feedback in enhancing model performance.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
745: 2024 Data Science Trend Predictions — with Sadie St. Lawrence
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Is reinforcement learning a turning point for large language models (LLMs) and artificial intelligence (AI) in the episode $450M AI Startup In 3 Years | Chai AI and the clip Data Partitioning?
Is less labeled data needed for training machine learning models as discussed in the episode "Big Data Doesn't Exist" and the clip "Deep Learning Insights" featuring Ilya Sutskever (OpenAI Chief Scientist) - Building AGI, Alignment, Spies, Microsoft, & Enlightenment and Running Out of Reasoning Tokens?