Mixed Attention & LLM Context | Data Brew | Episode 35
Data Brew by Databricks
Balancing LLM Context and Retrieval for Optimal Performance
This chapter explores the challenges of providing the right amount of context for large language models and its effects on their performance. It emphasizes the importance of effective retrieval methods over merely increasing context size and discusses potential improvements through various attention mechanisms.
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