Dexa/Machine Learning Street Talk (MLST)

Data Partitioning

Tim and William discuss the impact of data partitioning on language models, emphasizing the importance of fine tuning over model size. William highlights OpenAI's research on scaling model capabilities through fine tuning, reinforcement learning, and prompt engineering for optimal performance.

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Machine Learning Street Talk (MLST)
$450M AI Startup In 3 Years | Chai AI
Related Questions
- Is reinforcement learning a turning point for large language models (LLMs) and artificial intelligence (AI) as discussed in the episode $450M AI Startup In 3 Years | Chai AI and the clip Data Partitioning?
- Is reinforcement learning a turning point for large language models (LLMs) and artificial intelligence (AI)?