Build Your AI Startup #2: Edge Runners

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Betelgeuse

Gokulraja

krishnaprasath

syedfarith

Padmavathi

Our project utilizes Llama 3 and 3.1 to generate synthetic datasets tailored for function calling, with the goal of enhancing small language models in text-to-action tasks. By leveraging these advanced models, we create realistic and varied data that helps train smaller language models to understand and execute commands, queries, and functions more effectively. This approach aims to improve the accuracy and efficiency of language models in interpreting user inputs and performing tasks based on natural language instructions. Ultimately, our project seeks to make language models more capable and reliable in practical applications, enhancing their utility in real-world scenarios.

Generating synthetic datasets using Llama-3.1 for function calling to enhance small language models for text-to-action capabilities.

"Betelgeuse team on Build Your AI Startup #2: Edge Runners Hackathon"

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