lucataco
/
qwen1.5-14b
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data
Prediction
lucataco/qwen1.5-14b:28c4bbc1IDiki4u23boimkrvwprgi4pdy6aiStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- top_k
- 1
- top_p
- 1
- prompt
- Give me a short introduction to large language model.
- temperature
- 1
- system_prompt
- You are a helpful assistant.
- max_new_tokens
- 512
- repetition_penalty
- 1
Output
A large language model is a sophisticated artificial intelligence system that has been trained on an extensive corpus of text data, often covering billions or trillions of words. These models, typically based on deep learning architectures like transformers, are designed to understand and generate human-like language by learning patterns and relationships within the text. They are capable of performing a wide range of natural language processing tasks, such as text generation, language translation, answering questions, and even writing coherent responses to given prompts. Large language models have become increasingly popular in recent years due to their impressive ability to capture context and generate contextually relevant responses. They are often pre-trained on massive datasets and then fine-tuned on specific tasks, allowing them to adapt their knowledge for various applications. However, they also raise concerns about the potential for bias and the need for careful management, as they can potentially produce unintended or inappropriate outputs.Generated in
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