|
--- |
|
datasets: |
|
- erfanzar/UltraChat-Mixin |
|
language: |
|
- en |
|
- fr |
|
- es |
|
metrics: |
|
- accuracy |
|
pipeline_tag: text-generation |
|
tags: |
|
- code |
|
--- |
|
|
|
# LinguaMatic |
|
|
|
LinguaMatic is an advanced AI model designed to handle a wide range of Natural Language Processing (NLP) tasks. With its powerful capabilities, LinguaMatic can assist with tasks such as text classification, sentiment analysis, language translation, question answering, and much more. |
|
|
|
## EasyDel |
|
|
|
The model is finetuned Using a custom version of UltraChat on TPU-v4 POD using [EasyDel](https://github.com/erfanzar/EasyDeL) |
|
|
|
## Prompting Method |
|
|
|
LinguaMatic utilizes the OC prompting method to generate responses. This method, named after the friendly and intelligent llama, enhances the model's ability to engage in meaningful conversations. The `prompt_model` function provided below demonstrates how the llama2 prompting method is implemented: |
|
|
|
```python |
|
def prompt_model( |
|
problem:str, |
|
system = "You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions." |
|
): |
|
prompt = f"<|system|>\n{system}</s>\n<|user|>\n{problem}</s>\n<|assistant|>\n" |
|
return prompt |
|
``` |
|
|
|
The `prompt_model` function takes a `problem` as input, along with the `system`. It generates a formatted text that includes the system prompt, user inputs, and the current message. This approach allows LinguaMatic to maintain context and provide more coherent and context-aware responses. |
|
|
|
Remember this model is instruction-tuned with Coding Problems only and will take a static system input |
|
|
|
use system as |
|
|
|
`You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions.` |
|
## Contributing |
|
|
|
We welcome contributions to enhance LinguaMatic's capabilities and improve its performance. If you encounter any issues or have suggestions for improvement, please feel free to submit a pull request or open an issue on [EasyDel](https://github.com/erfanzar/EasyDeL) GitHub repository. |
|
|