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Event-centric memory can boost long-video QA accuracy by over 3 points while slashing inference costs by nearly 64%.
Evaluation-first guidance transforms how autonomous research agents tackle complex scientific inquiries, leading to substantial improvements in analysis quality and task completion rates.
LLMs can now reason across long conversations without breaking the bank: StructMem slashes token usage and API calls while boosting temporal reasoning.
LLM agents can learn more efficiently by leveraging a Skill Knowledge Base automatically constructed from prior experiences, enabling weaker agents to achieve stronger performance.
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.
