Access Tiers

Access to the bot is split into different tiers based on a users staked $DOLPHIN balance

Tier 0 – public access

Tier 1 – xxx staked $DOLPHIN

Tier 2 – xxx staked $DOLPHIN

Bot Commands

Dolphin Bot has a few commands that can be used for RAG, Audio Generation, context history & personality settings

/menu

/menu can be used to change the AI model's parameters between Logical & Creative mode

You can also enable & disable context memory from the menu

Turning context off means that every request to the bot is completely independant, meaning that the AI model will not have access to any of your previous messages

/clearcontext

Clear context wipes the conversation history from the bot's memory

We recommend using this regularly when changing conversation topics for the best quality responses

/search

/search [prompt] is the format used to start a web search

example = /search what are the 10 fastest cars in the world?

The bot will search the web & extract text from the top 5 webpages in the results

This text is fed into the current model you have selected & it is asked to make a summary of all 5 webpages

The data extracted from the web search will stay in the model’s context memory & can be referenced in following prompts

/scan

/scan [URL] is the format used to start a scan

example = /scan https://bitcoin.org/bitcoin.pdf

8B & 70B models have a limit of 2.7k tokens per scan

We recommend /base72b /base34b & /base7b32k for larger scans due to the 32k context size on these models

The scanned text will stay in the model’s context memory & can be referenced in following prompts

/tts

/tts [prompt] is the format used to generated both text & audio replies from the current model you have selected

example = /tts what is the shape of Italy?

The prompt will be send to the currently LLM model you have selected

The response from the model will be converted into audio using AI Text to Speech instances & sent to you alongside the original text response from the model

/speak

/speak [phrase] is the format used to convert [phrase] from text directly into audio using our Text to Speech instances

example = /speak she sells seashells on the sea shore

/voice

/voice is used to switch between 85 different voice profiles that can be used for audio generation