InstructGPT
InstructGPT is a family of language models released by OpenAI in January 2022 that take the base GPT-3 and fine-tune it to follow user instructions more helpfully, truthfully, and with less toxic output, using…
Large Language Models
Explore language models, how they work, and the techniques used to build applications with them.
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Browse subtopics: AI Alignment
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SPIN (Self-Play Fine-Tuning)
SPIN (Self-Play fIne-tuNing) is a post-training method for large language models introduced by researchers at the University of California, Los Angeles (UCLA) in January 2024.
Self-Rewarding Language Models
Self-Rewarding Language Models (SRLM) is an iterative alignment method in which a single large language model alternately plays the role of policy (generating candidate responses to user prompts) and reward…
SimPO
SimPO (Simple Preference Optimization) is a reference-free offline preference learning algorithm for aligning large language models with human preferences.
Sycophancy (artificial intelligence)
Sycophancy in artificial intelligence is the tendency of large language models to tell users what they want to hear: tailoring responses to match a user's perceived beliefs, preferences, or emotional state…