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AI agents can now learn durable skills instead of constantly "reinventing the wheel," thanks to SkillNet's infrastructure for creating, evaluating, and connecting AI skills at scale.
On-device LLM performance is heavily influenced by sequence length and model depth, with hardware heterogeneity creating efficiency traps that can be mitigated by architectural refinements like Multi-head Latent Attention.