Added LICENSE file with project license information.

This commit introduces the project license, which governs the use, distribution, and modification of the "AI Transformer Contextual Text Predictive" project. The license, Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), allows for free usage, sharing, and adaptation of the project's content for non-commercial purposes, provided appropriate credit is given and the license is included.

The license includes provisions for commercial use, warranty disclaimer, attribution, acknowledgment, and limitations on certain types of use. It also specifies the jurisdiction and applicable law for disputes related to the project's material. Additionally, the license version and the project creation date (May 07, 2024) are included.

The authorship and ownership section provides information about the project's creator, Francisco Emmanuel Casarrubias Jaimes, his background, specialization, and areas of interest. Contact information is also provided for inquiries, collaborations, or additional permissions.

This commit ensures that the project is properly licensed, providing clarity on how the project's content can be used and attributed, while also highlighting the author's expertise and professionalism in the field of Mechatronics Engineering with a focus on Automation and Control.

License.md

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+License
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+This project, "AI Transformer Contextual Text Predictive", is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). This means you are free to use, share, and adapt the content of this repository for non-commercial purposes, provided you give appropriate credit and include a link to the license.
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+If you are interested in using the content of this repository for commercial purposes, please contact me at [email protected] to discuss the terms and obtain my explicit consent.
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+Disclaimer of Warranty
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+Although this project is provided with the intention of being useful, it is offered "as is", with no warranty of any kind, either expressed or implied. The author is not responsible for any damage arising from its use. The use of the codes and techniques presented in this repository is at your own risk. Users should ensure they fully understand the codes and their implications before implementing or using them in practical applications.
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+Modifications and Contributions
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+Any modification or contribution to the project must remain under this same license (CC BY-NC 4.0) and be notified to the original project author.
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+Attribution and Acknowledgment
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+When using content from this repository, appropriate credit must be given, including a link to the license and an indication of any changes made. This can be in the form of a citation or mention in any publication or documentation related to the use of the material.
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+Additional Limitations
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+The use of this work for applications that promote discrimination, hatred, or violence is expressly prohibited, even within a non-commercial context.
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+Jurisdiction and Applicable Law
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+This license and any dispute related to the use of the material from this repository will be governed and interpreted in accordance with the laws of the author's country of residence, regardless of its conflict of laws.
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+License Version and Future Changes
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+This is version 1.0 of the license for this project. The author reserves the right to modify the license and its contents periodically, at their discretion, and as circumstances and the evolution of the project require. It is recommended to periodically review this section to be aware of any changes.
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+Authorship and Ownership
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+Author: Francisco Emmanuel Casarrubias Jaimes
+Specialization: Mechatronics Engineering with a focus on Automation and Control
+Interest Areas: Nonlinear Control with a specialization in Sliding Modes, Adaptive Control, Intelligent Control, Neural Networks
+Project Creation Date: May 07, 2024
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+Professionalism and Credibility
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+Francisco Emmanuel Casarrubias Jaimes, with a strong background in Mechatronics Engineering specialized in Automation and Control, has experience in advanced areas of control such as Nonlinear Control, Adaptive Control, and Intelligent Control, as well as in Neural Networks. His focus is on applying innovative strategies and cutting-edge techniques to address complex challenges in the field of control and automation.
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+Contact and Communication
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+For inquiries, collaborations, or additional permissions, please contact Francisco Emmanuel Casarrubias Jaimes:
+Email: [email protected]
+LinkedIn: Emmanuel Casarrubias