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All the latest blogs and news, straight from the team.
5 min read
Mind the Gap: Why Arabic LLMs Still Lag Behind (and What We Can Do About It)
This blog explores why Arabic large language models lag behind their English counterparts, highlighting gaps in post-training data quality, cultural alignment, and task diversity. It offers practical solutions to build authentic, high-impact Arabic datasets that empower better AI for Arabic speakers across dialects and domains.
5 min read
Auto Evol-Instruct: Toward Self-Evolving Instruction Tuning
A deep dive into Microsoft's Auto Evol-Instruct framework — how LLMs can autonomously generate, analyze, and optimize instruction data for alignment and reasoning improvement.
5 min read
Scaling Synthetic Data Creation with 1,000,000,000 Personas
How the Persona Hub framework uses billions of fictional identities to scale synthetic data creation and diversify AI training.