67. Mathias Neumayer and Dima Rubanov - Lora a child friendly AI

About this episode

Mathias Neumayer and Dima Rubanov discuss their child friendly AI, Lora, and its development to improve communication with children.

## Summary Large Language Models have many strengths and the frontier of what is possible and what they can be used for, is pushed back on the daily bases. One area in which current LLM's need to improve is how they communicate with children. Todays guests, Mathias Neumayer and Dima Rubanov are here to do exactly that, with their newest product LORA - a child friendly AI. Through they existing product Oscar stories, they identified issues with age appropriate language and gender bias in current LLMS's. With Lora, they are building their own AI friendly solution by fine tuning state of the art LLMs with expert curated data that ensures Lora is generating the appropriate language for children of a specific age. On the show they will describe how they are building Lora and what they plan to do with it. ### References - https://oscarstories.com/ - GenBit Score: [https://www.microsoft.com/en-us/research/wp-content/uploads/2021/10/MSJAR_Genbit_Final_Version-616fd3a073758.pdf](https://www.microsoft.com/en-us/research/wp-content/uploads/2021/10/MSJAR_Genbit_Final_Version-616fd3a073758.pdf) - Counterfactual Reasoning for Bias Evaluation…

People in this episode

Host: Manuel Pasieka

Guests: Mathias Neumayer, Dima Rubanov

Topics covered

• child friendly AI
• language models
• gender bias
• age appropriate language
• AI development

Keywords

• Large Language Models
• child friendly AI
• gender bias
• age appropriate language
• AI solutions

Mentioned in this episode

Organizations: Microsoft, arXiv

Products: Lora, Oscar stories

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