Update README.md

README.md

@@ -5,17 +5,18 @@ library_name: transformers
 
 ### Overview:
 
-AISAK, short for Artificially Intelligent Swiss Army Knife, is a state-of-the-art language model designed for text generation tasks. Developed by Mandela Logan, this Large Language Model (LLM) is fine-tuned on extensive datasets to excel in understanding and interpreting your various queries in natural language text.
+AISAK, short for Artificially Intelligent Swiss Army Knife, is a general-purpose AI system comprising various models designed for different tasks. Developed by Mandela Logan, one of the models within AISAK is a state-of-the-art language model designed for text generation tasks. This model, named AISAK-assistant, is fine-tuned on extensive datasets to excel in understanding and interpreting various queries in natural language text.
+
 
 ### Model Information:
 
-- **Model Name**: AISAK
+- **Model Name**: AISAK-assistant
 - **Version**: 1.0
 - **Model Architecture**: Transformer
-- **Specialization**: AISAK is structured upon the principles of the Transformer architecture, meticulously crafted to emulate the success of the renowned https://huggingface.co/mistralai/Mistral-7B-v0.1 model. 
+- **Specialization**: AISAK-assistant is one of the models within AISAK, structured upon the principles of the Transformer architecture, meticulously crafted to emulate the success of the renowned Mistral-7B-v0.1 model.
 ### Intended Use:
 
-AISAK, conceptualized by Mandela Logan, is intricately crafted for diverse text generation applications. This sophisticated language model excels in seamlessly crafting coherent and contextually relevant textual content across an array of domains. Whether you're delving into creative writing, formulating responses, automating content creation, or simply engaging in conversation, AISAK's adaptability guarantees a smooth and versatile text generation experience. With a nuanced understanding of diverse contexts, AISAK stands as a robust tool for producing high-quality and contextually appropriate textual content across a broad spectrum of applications.
+AISAK-assistant, as part of AISAK, is conceptualized by Mandela Logan, intricately crafted for diverse text generation applications. This sophisticated language model excels in seamlessly crafting coherent and contextually relevant textual content across an array of domains within the broader AISAK framework. Whether delving into creative writing, formulating responses, automating content creation, or engaging in conversation, AISAK-assistant's adaptability, as a component of AISAK, guarantees a smooth and versatile text generation experience. However, it's important to note that AISAK-assistant is not designed for personal, public, or commercial deployment for any means beyond its role as an assistant, or "Clerk", within the AISAK system. With a nuanced understanding of diverse contexts, AISAK-assistant, as part of AISAK, stands as a robust tool for producing high-quality and contextually appropriate textual content across a broad spectrum of applications within the AISAK ecosystem.
 
 ### Performance:
 
@@ -24,23 +25,24 @@ AISAK undergoes rigorous testing across diverse input data types, consistently d
 ### Ethical Considerations:
 
 - **Bias Mitigation**: Endeavors have been undertaken to address bias during training; however, users are urged to stay mindful of potential biases in the model's generated content.
-- **Fair Use**: Users are advised to exercise caution when incorporating AISAK in sensitive contexts and strive to ensure fair and ethical use of the generated text.
+- **Fair Use**: Users are advised to exercise caution when incorporating AISAK-assistant, as part of AISAK, in sensitive contexts and strive to ensure fair and ethical use of the generated text.
 
 ### Limitations:
 
-- While AISAK demonstrates proficiency in text generation, it might not be the most suitable option for tasks that necessitate domain-specific knowledge.
-- The model's performance could exhibit variations when confronted with highly specialized or out-of-domain textual data.
+- While AISAK-assistant, as part of AISAK, demonstrates proficiency in text generation, it might not be the most suitable option for tasks that necessitate domain-specific knowledge.
+- The model's performance, as part of AISAK, could exhibit variations when confronted with highly specialized or out-of-domain textual data.
 
 
 ### Deployment:
 
-I am currently having trouble deploying the model in a conversational instance with conversational history and context. At the current moment it's only been tested as a Q/A, if no knowledge of the previous input OR output, if anyone knows how to solve this setback, please do contact me at [email protected].
+There's a current challenge in deploying the AISAK-assistant model, as part of AISAK, in a conversational instance with conversational history and context. At the current moment, it's only been tested as a Q/A component. If anyone knows how to solve this setback, please do contact Mandela Logan at [email protected].
+
 ### Caveats:
 
-- It is recommended for users to double-check important decisions relying on AISAK's predictions, particularly in high-stakes scenarios.
+- It is recommended for users to double-check important decisions relying on AISAK-assistant's predictions, particularly in high-stakes scenarios.
 
 ### Model Card Information:
 
 - **Model Card Created**: February 1, 2024
-- **Last Updated**: February 12, 2024
+- **Last Updated**: February 18, 2024
 - **Contact Information**: Please contact [email protected] for any purpose of communication.