EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
MIT Technology Review·Aug 24·5 min read
Kids outlearn AI—and we still don’t know why
TL;DR
Recent advancements in AI, particularly with models like ChatGPT, have led to machines achieving near-human fluency in language. However, children still outlearn AI, and the reasons behind this gap remain unclear.
✦ Why It Matters
Explore how human cognitive processes can inform AI language model training today.
Key Takeaways
- Investigate child language learning methods for AI model training.
- Consider smaller datasets for training language models effectively.
- Participate in competitions like BabyLM to test language acquisition hypotheses.
- Utilize insights from cognitive science to improve AI language understanding.
How It Works
Researchers are using competitions like BabyLM to train models on smaller, developmentally plausible datasets, simulating how children learn language. These models are evaluated on grammar benchmarks similar to those used in psycholinguistics, allowing scientists to test hypotheses about language acquisition.