🤖HardLLM Agents & Tool UsePREMIUM

Recursive Language Models (RLM)

Master Recursive Language Models (RLMs), an inference-time approach that moves long context into a programmable environment so models can recurse over 10M+ token workloads with competitive quality and cost.

What you'll master

RLM architecture: prompt as environment state

Symbolic recursion vs. standard tool-agent loops

Task complexity scaling: O(1), O(N), O(N^2)

REPL-mediated context management

Sub-call strategy and batching trade-offs

Native recursive post-training for smaller models

Cost-quality behavior on long-context benchmarks

Security boundaries for REPL execution

Hard25 min readIncludes code examples, architecture diagrams, and expert-level follow-up questions.

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