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README.md
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## Uses
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**TODO:** aquí es buen momento también para hablar del marketplace de AWS.
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### Direct Use
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[More Information Needed]
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### Out-of-Scope Use
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### Recommendations
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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## Uses
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### Direct Use
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You can use and deploy RigoChat-v2 for commercial purposes through a model package from AWS Marketplace. You can check the instructions inside the [following notebook](https://github.com/iiconocimiento/iic-aws/tree/main/notebooks/rigochat-v2).
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### Out-of-Scope Use
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This language model has been adapted for general natural language processing tasks in Spanish and specific use cases such as RAG. However, there are several cases where the model should not be used due to its technical and ethical limitations:
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- **Illegal Activities:** The model should not be used to generate content related to illegal activities, such as creating malicious software, fraud, incitement to crime, or any illegal material.
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- **Harmful or Dangerous Content:** It should not be used to generate hate speech, violence, harassment, or any content that promotes discrimination, violence, or abuse.
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### Bias, Risks, and Limitations
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Although this model has been trained to understand and generate text in Spanish, there are several risks, biases, and limitations that users should be aware of:
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- **Biases:** The model may reflect biases present in the training data. These biases could be related to gender, race, social class, sexual orientation, among others, and may generate responses that perpetuate stereotypes or discrimination.
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- **Accuracy and Reliability:** While the model generates coherent and useful text in many contexts, it may not always be 100% accurate or reliable, especially in technical, scientific, or legal matters where high certainty is required.
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- **Limited or Outdated Knowledge:** The model is not trained with information beyond its training cutoff date. Therefore, it may not reflect recent events, research, or advancements.
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### Recommendations
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We recommend using this model as a general chatbot or within applications designed for specific tasks, such as SQL queries, RAG systems, or as an autonomous agent to facilitate the use of tools.
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## How to Get Started with the Model
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