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Lemur-v1-70B / Lemur-70B-Chat-V1
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Findings
IC-1330
All 20 evaluated LLMs improve in multi-turn task-solving with additional tool-use turns and GPT-4-simulated language feedback
IC-1331
SIFT and RLHF variants of CodeLlama and Llama-2 perform worse than their base counterparts in multi-turn interaction
IC-439
Agent-specialized fine-tuned models (XLAM) significantly improve API selection over base models, but code-fine-tuned models (AgentLM) degrade performance, and no fine-tuning approach improves input recognition