Gates Foundation’s $100M Push for AI Data Diversity: How to Build Truly Representative Language Models

The Bill & Melinda Gates Foundation launches a $100M coalition to create more inclusive AI training datasets. Analyze the technical and ethical challenges of building representative language models.
TinyCeNN-LM: How to Replace Attention in LLMs Without Losing Your Mind
TinyCeNN-LM introduces quality-gated conversion of pretrained attention layers to CeNN-inspired cellular-recurrent architectures. Learn about the trade-offs and implementation details.