GitHub - THUDM/AgentTuning: AgentTuning: Enabling Generalized Agent Abilities for LLMs
AgentBench: Evaluating LLMs as Agents
Xiao Liu • AgentBench: Evaluating LLMs as Agents
Important Aspects of Instruction Data
Longpre et al. (2023) and Iyer et al. (2022) ablate several important aspects of instruction data, which we highlight in the following.
Mixing few-shot settings. Training with mixed zero-shot and few-shot prompts significantly improves performance in both settings.
Task diversity. Large models benefit from conti... See more
Longpre et al. (2023) and Iyer et al. (2022) ablate several important aspects of instruction data, which we highlight in the following.
Mixing few-shot settings. Training with mixed zero-shot and few-shot prompts significantly improves performance in both settings.
Task diversity. Large models benefit from conti... See more
Sebastian Ruder • 🧑🏫 Instruction Tuning Vol. 1
Pretrained model on protein sequences using a masked language modeling (MLM) objective. It was introduced in
this paper and first released in
this repository. This model is trained on uppercase amino acids: it only works with capital letter amino acids.
Model description
ProtBert is based on Bert model which pretrained on a large corpus of protein sequ... See more
this paper and first released in
this repository. This model is trained on uppercase amino acids: it only works with capital letter amino acids.
Model description
ProtBert is based on Bert model which pretrained on a large corpus of protein sequ... See more
