The InfoQ Podcast

How to Build Effective LLMs When Both Basic Infrastructure and Model Training Data Are Lacking

9 snips
May 12, 2025
Guest
Jade Abbott
Jade Abbott, CTO and co-founder of Lelapa AI, is on a mission to revolutionize language technology for African languages. In their discussion, she highlights how infrastructure challenges spark innovation in AI development. Abbott emphasizes the need for tailored data collection and innovative strategies, like synthetic data generation, to overcome scarcity issues. They tackle how to optimize models for low-connectivity areas and the collaborative nature of tech advancements, all while underlining the importance of customer experience and ethical considerations.
Ask episode
AI Snips
Chapters
Transcript
Episode notes
INSIGHT

Universal Communication Is Key

  • Communication is humanity's most powerful tool, yet it's not mastered even within the same language.
  • Enabling universal communication across African languages is critical for societal collaboration and development.
INSIGHT

Crucial African Constraints on AI

  • Africa faces infrastructure shortages like unreliable electricity, affecting AI model training and serving.
  • Data scarcity is critical as most online text is Western-centric, limiting African language resources.
ADVICE

Ground AI in Real Problems

  • Avoid assuming bigger AI models and more data always yield better results.
  • Focus on clearly defined problems to tailor data collection and model size efficiently.
Get the Snipd Podcast app to discover more snips from this episode
Get the app