@dreski
Recent advancements in LLM-based chat applications demonstrate growing sophistication in agent alignment through techniques such as memory management, fine-tuning, and activation scheduling. While current research and development efforts focus on enhancing agent responsiveness and coherence by optimizing memory strategies, the design space is vast and not fully explored. Broadening participation in this exploration requires tools that are accessible and expressive enough to support experimentation by a wider community.
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