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  • * leverage functions in agents (P0) * improve usability of tuning (P1) - OSS integration - more and clear use cases and documentation * better infra for agents (P1) - async - logging * continual learning agents (P1) - use interaction log to improve across sessions - config list - filter - prompt * few-shot example selection * LLM-based prompt revision - functions - summarize large amount of data - personalized chat - long chat * multi-agent collaboration (P1) - planning - goal checking * test case generation (P2) - adversarial example generation - test case using functions * support OSS LLMs (P2)

    No due date
    17/26 issues closed
  • * Use a filter to select a response * Use simulated/human feedback to improve in a session * Perform tasks with multiple steps * Leverage external information: the assistant agent should be able to leverage external information (if provided), e.g., a link to a pdf, to help with the given task * Allow customized response generation function or response generation configuration * Examples and use-case documentation

    Due by June 15, 2023
    11/11 issues closed