Update README.md

add sythetic data details.

README.md

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 **IMPORTANT**: If you are new to Bittensor, please checkout the [Bittensor Website](https://bittensor.com/) before proceeding to the [Setup](#setup) section. 
 
-The Bittensor Subnet 18 (cortex.t) is designed to provide reliable consistent quality text responses for app developemnt via API usage through the bittensor protocol. It is also designed to provide an accessible, fair and manipulation free landscape to the incentivised production of data (mining) and reward production of organic user prompts. 
+Introducing Bittensor Subnet 18 (Cortex.t): A Pioneering Platform for AI Development and Synthetic Data Generation.
 
-This initiative takes the first steps in simplifying and re-imagining how text-prompting can be rewarded and is a push to provide stability and reassurance to developers of API-related apps and products allowing them to prioritise the provision of value to their clients without the worry of data inconsistencies. 
+Cortex.t stands at the forefront of artificial intelligence, offering a dual-purpose solution that caters to the needs of app developers and innovators in the AI space. This platform is meticulously designed to deliver reliable, high-quality text and image responses through API usage, utilising the decentralised Bittensor network. It serves as a cornerstone for creating a fair, transparent, and manipulation-free environment for the incentivised production of intelligence (mining) and generation and fulfilment of diverse user prompts.
 
-"Why is it not as good as ChatGPT?" was the often made comparison. Now it is. Now you can rely on the quality of GPT within the Bittensor network and pair it with other subnets and modalities using a single API key from any validator, [BitAPAI](https://bitapai.io), or by building directly on an existing validator.
+Our initiative is a leap forward in redefining the reward system for text and image prompting with a commitment to providing stability and reassurance to developers. By focusing on the value delivered to clients, we alleviate the concerns of data inconsistencies that often plague app development. The quality of Cortex.t is seamlessly integrated within the Bittensor network, allowing developers to harness the power of multiple subnets and modalities by building directly onto an existing validator, or through an API key from [Corcel](https://corcel.io).
+
+Cortex.t is also a transformative platform leveraging advanced AI models to generate synthetic prompt-response pairs. This novel method yields a comprehensive dataset of interactions, archived in wandb [wandb.ai/cortex-t/synthetic-QA](https://wandb.ai/cortex-t/synthetic-QA). The process involves recycling model outputs back into the system, using a prompt evolution and data augmentation strategy similar to Microsoft's approach in developing WizardLM. This enables the distillation of sophisticated AI models into smaller, yet efficient counterparts, mirroring the performance of their larger predecessors. Ultimately, Cortex.t democratizes access to high-end AI technology, encouraging innovation and customization.
+
+By leveraging synthetic data, Cortex.t circumvents the traditional challenges of data collection and curation, accelerating the development of AI models that are both robust and adaptable. This platform is your gateway to AI mastery, offering the unique opportunity to train your models with data that reflects the depth and versatility of the parent model. With SynthPairPro, you're not just collecting data; you're capturing intelligence, providing a path to creating AI models that mirror the advanced understanding and response capabilities of their predecessors.
+
+Join us at Cortex.t, your bridge to AI excellence, and democratise access to top-level AI capabilities. Be part of the AI revolution and stay at the forefront of innovation with SynthPairPro – Synthesizing Intelligence, Empowering the Future!
 
 
 ## Setup
 
 ### Before you proceed
 Before you proceed with the installation of the subnet, note the following: 
 
-**IMPORTANT**: We **strongly recommend** before proceeding that you test both subtensor and OpenAI API keys. Ensure you are running Subtensor locally to minimize chances of outages and improve the latency/connection. If you are unable to run Subtensor locally then you can also use the Taostats Subtensor endpoint by appending the followin to your start commands for a miner or validator.
-
-```--subtensor.chain_endpoint wss://bittensor-finney.api.onfinality.io/public-ws --subtensor.network local```
+**IMPORTANT**: We **strongly recommend** before proceeding that you test both subtensor and OpenAI API keys. Ensure you are running Subtensor locally to minimize chances of outages and improve the latency/connection. 
 
 After exporting your OpenAI API key to your bash profile, test the streaming service for both the gpt-3.5-turbo and gpt-4 engines using ```./neurons/test_openai.py```. Neither the miner or the validator will function without a valid and working [OpenAI API key](https://platform.openai.com/). 
 
 **IMPORTANT:** Make sure you are aware of the minimum compute requirements for cortex.t. See the [Minimum compute YAML configuration](./min_compute.yml).
 Note that this subnet requires very little compute. The main functionality is api calls, so we outsource the compute to openai. The cost for mining and validating on this subnet comes from api calls, not from compute. Please be aware of your API costs and monitor accordingly.
 
+A high tier key is required for both mining and validations so it is important if you do not have one to work your way up slowly by running a single miner or small numbers of miners whilst payiing attention to your usage and limits.
+
 
 ### Installation