This repository is the official codebase for Bittensor Subnet 1 (SN1) v1.0.0+, which was released on 22nd January 2024. To learn more about the Bittensor project and the underlying mechanics, read here..

This repo defines an incentive mechanism to create a distributed conversational AI.

Validators and miners are based on large language models (LLM). The validation process uses internet-scale datasets and goal-driven behaviour to drive human-like conversations.

1. To run a validator, you will need at least 24GB of VRAM.
2. To run the default Zephyr miner, you will need at least 18GB of VRAM.

The design of the network's incentive mechanism is based on two important requirements:

It is imperative that the validation process engages with miners in the same way as real users. The reasons for this are as follows:

• Miners will compete and continuously improve at performing the validation task(s), and so this fine tuning should be aligned with the goals of the subnet.
• It should not be possible to distinguish between validation and API client queries so that miners always serve requests (even when they do not recieve emissions for doing so).

In the context of this subnet, miners are required to be intelligent AI assistants that provide helpful and correct responses to a range of queries.

In our experience, we have found that it is tricky to evaluate whether miner responses are high quality. Existing methods typically rely on using LLMs to score completions given a prompt, but this is often exploited and gives rise to many adversarial strategies.

In the present version, the validator produces one or more reference answers which all miner responses are compared to. Those which are most similar to the reference answer will attain the highest rewards and ultimately gain the most incentive.

We presently use a combination of string literal similarity and semantic similarity as the basis for rewarding.

Contexts, which are the basis of conversations, are from external APIs (which we call tools) which ensure that conversations remain grounded in factuality. Contexts are also used to obtain ground-truth answers.

Currently, the tooling stack includes:

1. Wikipedia API
2. StackOverflow
3. mathgenerator

More tooling will be included in future releases.

The validation process supports an ever-growing number of tasks. Tasks drive agent behaviour based on specific goals, such as;

• Question answering
• Summarization
• Code debugging
• Mathematics and more.

Tasks contain a query (basic question/problem) and a reference (ideal answer), where a downstream HumanAgent creates a more nuanced version of the query.

In order to mimic human interactions, validators participate in a roleplaying game where they take on the persona of random human users. Equipped with this persona and a task, validators prompt miners in a style and tone that is similar to humans and drive the conversation in order to reach a pre-defined goal. We refer to these prompts as challenges.

Challenges are based on the query by wrapping the query in an agent persona which results in a lossy "one-way" function. This results in challenges that are overall more interesting, and less predictable.

The diagram below illustrates the validation flow.

These validators are designed to run and update themselves automatically. To run a validator, follow these steps:

1. Install this repository, you can do so by following the steps outlined in the installation section.
2. Install Weights and Biases and run wandb login within this repository. This will initialize Weights and Biases, enabling you to view KPIs and Metrics on your validator. (Strongly recommended to help the network improve from data sharing)
3. Install PM2 and the jq package on your system. On Linux:

   sudo apt update && sudo apt install jq && sudo apt install npm && sudo npm install pm2 -g && pm2 update

   On Mac OS

   brew update && brew install jq && brew install npm && sudo npm install pm2 -g && pm2 update

4. Run the run.sh script which will handle running your validator and pulling the latest updates as they are issued.

   pm2 start run.sh --name s1_validator_autoupdate -- --wallet.name <your-wallet-name> --wallet.hotkey <your-wallet-hot-key>

This will run two PM2 process: one for the validator which is called s1_validator_main_process by default (you can change this in run.sh), and one for the run.sh script (in step 4, we named it s1_validator_autoupdate). The script will check for updates every 30 minutes, if there is an update then it will pull it, install it, restart s1_validator_main_process and then restart itself.

Miners are scored based on the similarity between their completions and the reference answer. Furthermore, they should utilize the same API tools as the validators in order to be able to closely reproduce the reference answer. We currently provide the following miners out-of-the-box:

1. Zephyr 7B
2. OpenAI (GPT variants)
3. wiki-agent (GPT ReAct agent with langchain)

This repository requires python3.8 or higher. To install, simply clone this repository and install the requirements.

git clone https://github.com/opentensor/prompting.git
cd prompting
python -m pip install -r requirements.txt
python -m pip install -e .

We encourage miners to use testnet as this gives you a risk-free playground before running on mainnet. If you require test tao, please reach out to [email protected]

Prior to running a miner or validator, you must create a wallet and register the wallet to a netuid. Once you have done so, you can run the miner and validator with the following commands.

# To run the validator
python neurons/validator.py
    --netuid 1
    --subtensor.network <finney/local/test>
    --neuron.device cuda
    --wallet.name <your validator wallet>  # Must be created using the bittensor-cli
    --wallet.hotkey <your validator hotkey> # Must be created using the bittensor-cli
    --logging.debug # Run in debug mode, alternatively --logging.trace for trace mode

# To run the miner
python neurons/miners/BASE_MINER/miner.py 
    --netuid 1
    --subtensor.network <finney/local/test>
    --wallet.name <your miner wallet> # Must be created using the bittensor-cli
    --wallet.hotkey <your validator hotkey> # Must be created using the bittensor-cli
    --logging.debug # Run in debug mode, alternatively --logging.trace for trace mode

where BASE_MINER is zephyr, which is a fine-tuned Mistral-7B, however you can choose any of the supplied models found in neurons/miners.

For users who are new to the Bittensor ecosystem, 'finney' is the recommended subtensor, but more advanced users are encouraged to run a subtensor locally for greater performance and stability.

Check out real-time public logging by looking at the project here

This repository is licensed under the MIT License.

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