Is It Possible to Truly Understand Performance in LLMs?
Understanding why emergence occurs is part of a broader desire to shine light inside the black box of LLMs.
Is It Possible to Truly Understand Performance in LLMs?
Understanding why emergence occurs is part of a broader desire to shine light inside the black box of LLMs.
Hopper kept a backwards clock on her wall to remind herself to think outside the box.
The Importance of Robust Documentation in Software Development
Without well-maintained documentation, even the most elegant codebases can become opaque, inefficient, and impossible to scale.
Technology aims to ensure integrity and fairness, but doesn’t erase the deep appeal of human judgment in competition.
Reevaluating Google’s Reinforcement Learning for IC Macro Placement
Crosschecked data indicates that the integrity of a 2021 paper in Nature by Mirhoseini et al. is substantially undermined, owing to errors in conduct, analysis, and reporting.
The Paradigm Shifts in Artificial Intelligence
To understand the state of the art of AI and where it is heading, it is important to track its scientific history.
Between the two extreme visions of AI as a servant and AI as a sentient fighter-lover, resides an important and practical alternative: AI as a provocateur.
Is It Possible to Truly Understand Performance in LLMs?
Understanding why emergence occurs is part of a broader desire to shine light inside the black box of LLMs.
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