Exploring the Impact of Fine-Tuning on Language-Model Agents for Autonomous Tasks

Blogpost version

Paper

We have just released our first public report. It introduces methodology for assessing the capacity of LLM agents to acquire resources, create copies of themselves, and adapt to novel challenges they encounter in the wild.

Background

ARC Evals develops methods for evaluating the safety of large language models (LLMs) in order to provide early warnings of models with dangerous capabilities. We have public partnerships with Anthropic and OpenAI to evaluate their AI systems, and are exploring other partnerships as well.

Source:
https://www.lesswrong.com/posts/EPLk8QxETC5FEhoxK/arc-evals-new-report-evaluating-language-model-agents-on

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