Update README.md

README.md

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-# Uploaded  model
+# Begining the fintech training :
 
 - **Developed by:** LeroyDyer
 - **License:** apache-2.0
 - **Finetuned from model :** LeroyDyer/_Spydaz_Web_AI_LCARS_001
 
+this first model is basically being loaded with multiple tables and historical data from the fintech industry :
+generating new datamodels and datashapes to view the information in different algorhythms :
+Such as predictive models :  spo we can see past to future transformations as weell as generate predictive models based on a single ticker or in realtion to its competitors :
+this model will be trained on fintech discussions as well as investments and outcomes etc  : as it will be designed to assist in decision making across business domains :
+we will also be feeding the model various data warehouses of industrys to intorogate those retained models : this also enables for the model to understand large datastacks as well as segment data marts as required :
+This will assist in the digestion of later whitepaper enabling the model to simullae models and data to test theroms !
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+This fintech model will also have some basic instruct tuning for generalised stockdata or finaicial tasks : givoing the model the ability to generate code in various languages for various fintech tasks : 
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+we may even be prudent to train the model on some base64 images charts and models to enable later intergration with vision models ! 
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+We also have been working with sound files as base64 spectographs which will also enable for later intergration into speech and audio models :
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+## Language models :
+The base model or the language model forms the heart of every single model we deem to be artificial inteligence : ie the model makes decisions based on its past data and history as well as embedded knowledge : at this time we may not even understand how this data is being interpreted , but it is a conversational mind with variious hidden prompts and chain of thought or step by step instructions to perform various task despite only being traied as a next word predictor or classifier the model has becoem a general purpose inteligence , with a natural languge query ~
+we have lost the friendly ness of the models ! - ie its very hard to find conversations ! ---- > OR emotive responses : So its important to train on all aspects : so right now we have a cold hearted business minded task performing bot !
+I have personally trained these models with the thought of conversation and future thinking has let me install various roles into the model ! 
+as well as training openly on toxic considered data , whilst maintaining a clean decorum ! these models are actually AGI ! 
+Advanced General Inteligences !
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 This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)