Zero-Shot
النمط الصفري
إعداد تقييم يُقدَّم فيه السؤال للنموذج مباشرة دون أمثلة سابقة، وهو الإعداد الموصى به لنماذج الاستدلال الطويل مثل DeepSeek-R1.
An evaluation setting where the question is presented to the model directly without prior examples, the recommended setting for long-reasoning models like DeepSeek-R1.
Also translated asالأداء بدون تدريب مسبق على المهمة، التعلم الصفري، التقييم من الصفر، الصفري، النقل دون تدريب مسبق، بدون أمثلة
First appears in this corpus in: Improving Language Understanding by Generative Pre-Training (2018)
Appears in these papers
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model2022in the sky ✦
- Chronos: Learning the Language of Time Series2024in the sky ✦
- Chronos: Learning the Language of Time Series2024in the sky ✦
- Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning2022in the sky ✦
- Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning2022in the sky ✦
- DALL·E: Zero-Shot Text-to-Image Generation2021in the sky ✦
- DALL·E: Zero-Shot Text-to-Image Generation2021in the sky ✦
- Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data2024in the sky ✦
- Emergent Abilities of Large Language Models2022in the sky ✦
- The Falcon Series of Open Language Models2023in the sky ✦
- The Falcon Series of Open Language Models2023in the sky ✦
- Improving Language Understanding by Generative Pre-Training2018in the sky ✦
- Language Models Are Unsupervised Multitask Learners2019in the sky ✦
- Language Models Are Few-Shot Learners2020in the sky ✦
- Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection2023in the sky ✦
- HuggingGPT: Solving AI Tasks with ChatGPT and Its Friends in Hugging Face2023in the sky ✦
- HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels2022in the sky ✦
- ImageBind: One Embedding Space to Bind Them All2023in the sky ✦
- LLM.int8(): 8-Bit Matrix Multiplication for Transformers at Scale2022in the sky ✦
- OPT: Open Pre-Trained Transformer Language Models2022in the sky ✦
- RT-1: Robotics Transformer for Real-World Control at Scale2022in the sky ✦
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances2022in the sky ✦
- Self-Instruct: Aligning Language Models with Self-Generated Instructions2022in the sky ✦
- A Decoder-Only Foundation Model for Time Series Forecasting2024in the sky ✦
- A Decoder-Only Foundation Model for Time Series Forecasting2024in the sky ✦
- Toolformer: Language Models Can Teach Themselves to Use Tools2023in the sky ✦
- Toolformer: Language Models Can Teach Themselves to Use Tools2023in the sky ✦
- Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision2023in the sky ✦