AI article
Autonomous Research Agents: What Telecom Ticket Retrieval Reveals About Open-Ended Problem Solving Loops
Community description: How LLM-based research agents handle problems where the objective function must be discovered, with orchestration patterns from a 10-week telecom case s...
Dev.to | Sep 15, 2026 | mech.app
Automated excerpt
The agent tunes hyperparameters, runs experiments, and reports metrics. The agent explores, evaluates, and iterates. Implementation phase: Agent writes code, generates training data, trains a model. Evaluation phase: Agent runs retrieval on a held-out set, measures Recall@1. Data access: Restrict which datasets the agent can read.
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