Building a Context-Folding LLM Agent for Long-Horizon Reasoning with Memory Compression and Tool Use
In this tutorial, we explore how to build a Context-Folding LLM Agent that efficiently solves long, complex tasks by intelligently managing limited context. We design the agent to break down a large ...
In this tutorial, we combine the analytical power of XGBoost with the conversational intelligence of LangChain. We build an end-to-end pipeline that can generate synthetic datasets, train an XGBoost ...
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