AI Experiments – Case Study
Generative AI such as ChatGPT generates generic content. ChatGPT is a Large Language Model (LLM) that doesn’t have access to private data, so it cannot generate personalized content. Generating personalized outputs requires intense computational resources as the data can have over a million records. There was a need to reduce the cost so we built an AI tool based on tweets
The AIAV twitter bot
AIAV is a context engine built on top of ChatGPT that allows users to create personalized content (bios, raps and answers) based on their social media persona only at a fraction of a cost of using LLMs
- Identifying relevant data from a source such as individual tweets.
- Feeding data to the LLMs that is relevant to a particular individual.
- Producing personalized outputs such as raps, poems, love letters, dating profiles and so on.
- Easily able to mimic famous personalities and individuals.
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