Building AI for Low-Resource Languages: Bezoku's Innovative Approach | Intel

Опубликовано 10 октября 2024, 14:59

Learn about the development of low-resource language models with Ian Gilmour, founder of Euler Digital and creator of Bezoku. Ian shares how Bezoku evolved from AI Forum, addressing the challenge of creating AI models for languages with limited data. He emphasizes the need for low-resource language models and their potential use cases, like polling and surveying, through techniques like reinforcement learning. Gilmour also delves into technical strategies, such as homomorphic encryption and synthetic data, for building secure and efficient AI solutions.

00:00 Introduction – Ian Gilmour, creator of Bezoku
02:18 Dialect-based, low resource language system
03:32 Large language models don’t account for variants and dialects
06:55 Practical example – polling for elections
09:21 Process of ‘annealing’
17:52 Stripping away complexity by thinking right
20:53 Using small language model and efficiencies gained
25:51 Creating efficient workflows with Intel Liftoff for Startups progra

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Building AI for Low-Resource Languages: Bezoku's Innovative Approach | Intel
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