Large Language Model

النموذج اللغوي الكبير

نماذج ذكاء اصطناعي عملاقة مدربة على مليارات النصوص لفهم وتوليد اللغات البشرية بدقة عالية.

Also translated asنموذج اللغة الضخم، النماذج اللغوية العملاقة

First appears in this corpus in: The Monte Carlo Method (1949)

Appears in these papers

Asynchronous Methods for Deep Reinforcement Learning2016 in the sky ✦
Decoupled Weight Decay Regularization2019 in the sky ✦
Alpaca: A Strong, Replicable Instruction-Following Model2023 in the sky ✦
Alpaca: A Strong, Replicable Instruction-Following Model2023 in the sky ✦
BLEU: A Method for Automatic Evaluation of Machine Translation2002 in the sky ✦
BLIP-2: Bootstrapping Language-Image Pre-Training with Frozen Image Encoders and Large Language Models2023 in the sky ✦
BLIP-2: Bootstrapping Language-Image Pre-Training with Frozen Image Encoders and Large Language Models2023 in the sky ✦
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models2022 in the sky ✦
Training Compute-Optimal Large Language Models2022 in the sky ✦
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data2001 in the sky ✦
A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence1956 in the sky ✦
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning2025 in the sky ✦
ELIZA — A Computer Program for the Study of Natural Language Communication1966 in the sky ✦
Emergent Abilities of Large Language Models2022 in the sky ✦
Are Emergent Abilities of Large Language Models a Mirage?2023 in the sky ✦
Enriching Word Vectors with Subword Information2017 in the sky ✦
Finetuned Language Models Are Zero-Shot Learners2022 in the sky ✦
High-Dimensional Continuous Control Using Generalized Advantage Estimation2016 in the sky ✦
Generative Agents: Interactive Simulacra of Human Behavior2023 in the sky ✦
Generative Agents: Interactive Simulacra of Human Behavior2023 in the sky ✦
Scaling Language Models: Methods, Analysis & Insights from Training Gopher2022 in the sky ✦
Improving Language Understanding by Generative Pre-Training2018 in the sky ✦
Language Models Are Unsupervised Multitask Learners2019 in the sky ✦
Language Models Are Few-Shot Learners2020 in the sky ✦
Language Models Are Few-Shot Learners2020 in the sky ✦
GPT-4 Technical Report2023 in the sky ✦
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints2023 in the sky ✦
HuggingGPT: Solving AI Tasks with ChatGPT and Its Friends in Hugging Face2023 in the sky ✦
Training Language Models to Follow Instructions with Human Feedback2022 in the sky ✦
On Information and Sufficiency1951 in the sky ✦
LIMA: Less Is More for Alignment2023 in the sky ✦
Llama 2: Open Foundation and Fine-Tuned Chat Models2023 in the sky ✦
Llama 2: Open Foundation and Fine-Tuned Chat Models2023 in the sky ✦
LLaMA: Open and Efficient Foundation Language Models2023 in the sky ✦
Visual Instruction Tuning2023 in the sky ✦
LoRA: Low-Rank Adaptation of Large Language Models2021 in the sky ✦
The Monte Carlo Method1949 in the sky ✦
Nearest Neighbor Pattern Classification1967 in the sky ✦
Learning to Reason with LLMs2024 in the sky ✦
Optimal Brain Damage1989 in the sky ✦
The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain1958 in the sky ✦
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks2020 in the sky ✦
ReAct: Synergizing Reasoning and Acting in Language Models2023 in the sky ✦
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned2022 in the sky ✦
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback2023 in the sky ✦
RMSProp: Divide the Gradient by a Running Average of Its Recent Magnitude2012 in the sky ✦
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances2022 in the sky ✦
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances2022 in the sky ✦
WebArena: A Realistic Web Environment for Building Autonomous Agents2023 in the sky ✦