large language model family
C16400
concept
A large language model family is a group of related neural network models that share a common architecture and training paradigm but vary in size, capabilities, and specialization to handle diverse natural language understanding and generation tasks.
All labels observed (10)
| Label | Occurrences |
|---|---|
| language model | 8 |
| large language model family canonical | 7 |
| pretrained language model | 3 |
| Generative Pre-trained Transformer | 1 |
| XLM-RoBERTa architecture | 1 |
| autoregressive language model family | 1 |
| long-sequence transformer | 1 |
| neural language model | 1 |
| open-source language model | 1 |
| transformer-based language model architecture | 1 |
Description generation (CDg)
The one-sentence description above was generated by prompting gpt-5.1 with the class name and this instruction.
Instruction
generate a one-sentence description for a given conceptual class. # Response Format Return only the sentence: "Description: [one-sentence description of the conceptional class]"
Input
Class: large language model family
Generated description
A large language model family is a group of related neural network models that share a common architecture and training paradigm but vary in size, capabilities, and specialization to handle diverse natural language understanding and generation tasks.
Instances (20)
| Instance | Via concept surface |
|---|---|
| GPT series | — |
| Elmo | language model |
| GPT-Neo | autoregressive language model family |
| RoBERTa | language model |
| DistilBERT | pretrained language model |
| XLNet | language model |
| T5 | neural language model |
| ALBERT | language model |
| DeBERTa | pretrained language model |
| LLaMA | — |
| OPT | — |
| Falcon | — |
| XLM-R | XLM-RoBERTa architecture |
| BigBird | transformer-based language model architecture |
| LayoutLM | pretrained language model |
| BERT | language model |
| GPT | — |
| GPT-1 | Generative Pre-trained Transformer |
| Llama | — |
| Gee language model series | — |