Assistants
Smart Assistants
Context-aware voice control for smart homes.
AI and Large Language Models (LLMs)
AI and Large Language Models (LLMs)
Large Language Models (LLMs) represent a shift toward intelligence that can reason and anticipate human needs, though they require massive computational resources like 10,000+ GPUs. These models are increasingly integrated with Edge AI for real-time decision-making and Quantum Machine Learning to explore vast data possibilities simultaneously.
Example use cases
AI and LLMs in action
Transport
Autonomous Transit
TTS providing natural communication for "Internet of Vehicles."
Services
Customer Support AI
Automated chatbots providing 24/7 assistance.
Application to SMARTER Nation
Instead of just being a "chatbot," our AI acts like a high-speed weather forecaster for pollution and floods. It analyzes patterns in environmental data to predict air quality and flood risks up to three days in advance, giving communities and officials the head start they need to stay safe.
Bibliography · AI and Large Language Models (LLMs)
REFERENCES
- Bender, E. M., et al. (2021). On the dangers of stochastic parrots. FAccT '21.
- Brown, T., et al. (2020). Language models are few-shot learners. arXiv.
- Goodfellow, I., et al. (2016). Deep learning. MIT Press.
- Russell, S., & Norvig, P. (2020). Artificial intelligence: A modern approach. Pearson.
- Wolf, T., et al. (2020). Transformers: State-of-the-art NLP. EMNLP.