Inference
الاستدلال
مرحلة تشغيل النموذج المدرب لإنتاج التنبؤات أو الإجابات فوراً.
Inference
Also translated asالتشغيل الاستنتاجي، الاستنتاج
First appears in this corpus in: Extension of the Law of Large Numbers to Dependent Quantities (1906)
Appears in these papers
- Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware2023in the sky ✦
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift2015in the sky ✦
- BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer2019in the sky ✦
- BLIP-2: Bootstrapping Language-Image Pre-Training with Frozen Image Encoders and Large Language Models2023in the sky ✦
- Training Compute-Optimal Large Language Models2022in the sky ✦
- Chronos: Learning the Language of Time Series2024in the sky ✦
- Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning2022in the sky ✦
- A ConvNet for the 2020s2022in the sky ✦
- Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data2001in the sky ✦
- DALL·E: Zero-Shot Text-to-Image Generation2021in the sky ✦
- Denoising Diffusion Implicit Models2021in the sky ✦
- A Fast Learning Algorithm for Deep Belief Nets2006in the sky ✦
- Deep Speech 2: End-to-End Speech Recognition in English and Mandarin2015in the sky ✦
- DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks2020in the sky ✦
- DeepSeek-V3 Technical Report2024in the sky ✦
- Diffusion Policy: Visuomotor Policy Learning via Action Diffusion2023in the sky ✦
- DistilBERT, a Distilled Version of BERT: Smaller, Faster, Cheaper and Lighter2019in the sky ✦
- DistilBERT, a Distilled Version of BERT: Smaller, Faster, Cheaper and Lighter2019in the sky ✦
- Are Transformers Effective for Time Series Forecasting?2023in the sky ✦
- Dense Passage Retrieval for Open-Domain Question Answering2020in the sky ✦
- Dropout: A Simple Way to Prevent Neural Networks from Overfitting2014in the sky ✦
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks2019in the sky ✦
- The Falcon Series of Open Language Models2023in the sky ✦
- Fast R-CNN2015in the sky ✦
- Fully Convolutional Networks for Semantic Segmentation2015in the sky ✦
- Finetuned Language Models Are Zero-Shot Learners2022in the sky ✦
- FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning2023in the sky ✦
- 3D Gaussian Splatting for Real-Time Radiance Field Rendering2023in the sky ✦
- Gaussian Error Linear Units (GELUs)2016in the sky ✦
- Gemini: A Family of Highly Capable Multimodal Models2023in the sky ✦
- Gemini: A Family of Highly Capable Multimodal Models2023in the sky ✦
- Gemma: Open Models Based on Gemini Research and Technology2024in the sky ✦
- GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models2021in the sky ✦
- Google's Neural Machine Translation System: Bridging the Gap Between Human and Machine Translation2016in the sky ✦
- Going Deeper with Convolutions2014in the sky ✦
- Language Models Are Few-Shot Learners2020in the sky ✦
- GPTQ: Accurate Post-Training Quantization for Generative Pre-Trained Transformers2022in the sky ✦
- GPTQ: Accurate Post-Training Quantization for Generative Pre-Trained Transformers2022in the sky ✦
- GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints2023in the sky ✦
- GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints2023in the sky ✦
- Inductive Representation Learning on Large Graphs2017in the sky ✦
- Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection2023in the sky ✦
- Group Normalization2018in the sky ✦
- A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition1989in the sky ✦
- HuggingGPT: Solving AI Tasks with ChatGPT and Its Friends in Hugging Face2023in the sky ✦
- HuggingGPT: Solving AI Tasks with ChatGPT and Its Friends in Hugging Face2023in the sky ✦
- Imagen: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding2022in the sky ✦
- IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures2018in the sky ✦
- Informer: Beyond Efficient Transformer for Long Sequence Time Series Forecasting2021in the sky ✦
- A New Approach to Linear Filtering and Prediction Problems1960in the sky ✦
- Distilling the Knowledge in a Neural Network2015in the sky ✦
- High-Resolution Image Synthesis with Latent Diffusion Models2022in the sky ✦
- Layer Normalization2016in the sky ✦
- Latent Dirichlet Allocation2003in the sky ✦
- Llama 2: Open Foundation and Fine-Tuned Chat Models2023in the sky ✦
- The Llama 3 Herd of Models2024in the sky ✦
- LLaMA: Open and Efficient Foundation Language Models2023in the sky ✦
- LLM.int8(): 8-Bit Matrix Multiplication for Transformers at Scale2022in the sky ✦
- LLM.int8(): 8-Bit Matrix Multiplication for Transformers at Scale2022in the sky ✦
- LoRA: Low-Rank Adaptation of Large Language Models2021in the sky ✦
- Mamba: Linear-Time Sequence Modeling with Selective State Spaces2023in the sky ✦
- Extension of the Law of Large Numbers to Dependent Quantities1906in the sky ✦
- Mistral 7B2023in the sky ✦
- Mixtral of Experts2024in the sky ✦
- Mixtral of Experts2024in the sky ✦
- The Monte Carlo Method1949in the sky ✦
- Neural Message Passing for Quantum Chemistry2017in the sky ✦
- MusicLM: Generating Music From Text2023in the sky ✦
- MuZero: Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model2020in the sky ✦
- Learning to Reason with LLMs2024in the sky ✦
- Optimal Brain Damage1989in the sky ✦
- Efficient Memory Management for Large Language Model Serving with PagedAttention2023in the sky ✦
- π₀: A Vision-Language-Action Flow Model for General Robot Control2024in the sky ✦
- PinSage: Graph Convolutional Neural Networks for Web-Scale Recommender Systems2018in the sky ✦
- RAFT: Recurrent All-Pairs Field Transforms for Optical Flow2020in the sky ✦
- Random Features for Large-Scale Kernel Machines2007in the sky ✦
- RT-1: Robotics Transformer for Real-World Control at Scale2022in the sky ✦
- Efficiently Modeling Long Sequences with Structured State Spaces2022in the sky ✦
- SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers2021in the sky ✦
- Self-Consistency Improves Chain of Thought Reasoning in Language Models2022in the sky ✦
- Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection2023in the sky ✦
- Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection2023in the sky ✦
- Sentence-BERT: Sentence Embeddings Using Siamese BERT-Networks2019in the sky ✦
- Sequence to Sequence Learning with Neural Networks2014in the sky ✦
- Show and Tell: A Neural Image Caption Generator2015in the sky ✦
- Video Generation Models as World Simulators2024in the sky ✦
- Fast Inference from Transformers via Speculative Decoding2023in the sky ✦
- Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity2022in the sky ✦
- Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions2018in the sky ✦
- A Decoder-Only Foundation Model for Time Series Forecasting2024in the sky ✦
- Toolformer: Language Models Can Teach Themselves to Use Tools2023in the sky ✦
- Tree of Thoughts: Deliberate Problem Solving with Large Language Models2023in the sky ✦
- WebGPT: Browser-Assisted Question-Answering with Human Feedback2021in the sky ✦
- Wide & Deep Learning for Recommender Systems2016in the sky ✦
- Deep Neural Networks for YouTube Recommendations2016in the sky ✦