Update README.md

README.md

@@ -16,39 +16,39 @@ AISAK, short for Artificially Intelligent Swiss Army Knife, is a general-purpose
 
 - **Model Name**: AISAK-TVI
 - **Version**: 1.0
-- **Model Architecture**: Bunny-Llama with AISAK-Assistant Implementation
-- **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.
+- **Model Architecture**: Bunny-Llama with AISAK-TVI Implementation
+- **Specialization**: Large Multimodal Model capable of processing both textual and visual inputs, with textual output. Built upon Bunny-Llama's architecture, it leverages advanced multimodal techniques for enhanced understanding and generation of textual and visual content.
 ### Intended Use:
 
-AISAK-Assistant, as part of AISAK, 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 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 designated role 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.
+AISAK-TVI is designed to excel in tasks requiring the understanding and generation of both textual and visual content. It is ideal for applications such as image captioning, creative writing, response formulation, content automation, and more. By integrating with AISAK-Assistant, it offers a seamless experience within the AISAK ecosystem, providing users with comprehensive AI assistance across various domains.
 
 ### Performance:
 
-AISAK undergoes rigorous testing across diverse input data types, consistently demonstrating superior performance. Its capabilities have proven to outperform and exceed those of various state-of-the-art models such as but not limited to, GPT-3.5 and Llama 2's 13b and even 70b parameter model.
+AISAK-TVI demonstrates state-of-the-art performance in multimodal tasks, surpassing traditional unimodal models in both accuracy and versatility. Its advanced architecture enables it to understand the intricate relationships between textual and visual information, resulting in coherent and contextually relevant outputs.
 
 ### 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-Assistant, as part of 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-TVI, as part of AISAK, in sensitive contexts and strive to ensure fair and ethical use of the generated text.
 
 ### Limitations:
 
-- 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.
+- While AISAK-TVI, 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:
 
-Inferencing for AISAK-Assistant will be handled as part of the full deployment of the AISAK system in the future. The process is lengthy and intensive in many areas, emphasizing the goal of achieving the optimal system rather than the quickest. However, work is being done as fast as humanly possible. Updates will be provided as frequently as possible.
+Inferencing for AISAK-TVI will be handled as part of the full deployment of the AISAK system in the future. The process is lengthy and intensive in many areas, emphasizing the goal of achieving the optimal system rather than the quickest. However, work is being done as fast as humanly possible. Updates will be provided as frequently as possible.
 
 ### Caveats:
 
-- It is recommended for users to double-check important decisions relying on AISAK-Assistant's predictions, particularly in high-stakes scenarios.
+- It is recommended for users to double-check important decisions relying on AISAK-TVI's predictions, particularly in high-stakes scenarios.
 
 ### Model Card Information:
 
-- **Model Card Created**: February 1, 2024
-- **Last Updated**: April 5, 2024
+- **Model Card Created**: May 22, 2024
+- **Last Updated**: May 22, 2024
 - **Contact Information**: For any inquiries or communication regarding AISAK, please contact me at mandelakorilogan@gmail.com.