目前,生成式大规模语言模型(LLMs)通过将多种自然语言处理任务整合到一个全面的文本生成框架中,展现了卓越的能力。这些 LLMs,包括 OpenAI 的 GPT-4 [112]、Anthropic 的 Claude 3 和 Meta 的 Llama 3 [3],在理解和生成自然语言方面展现...
OPENAI_API_TYPE="open_ai"OPENAI_API_KEY=${YOUR_OPENAI_API_KEY} If you use Anthropic models, please put your API keys in.envfile. ANTHROPIC_API_KEY=${YOUR_ANTHROPIC_API_KEY} Evaluate Models Example script forGPT-3.5-Turbo: python agentboard/eval_main.py \ --cfg-path eval_configs/main...
You can also use GPT series models to do this transformation step, since recently the DeepSeek API is under heavy pressure. For example, set --model as gpt-4o-mini-2024-07-18 and change --key accordingly. You may find some the requests failed, it's OK and we just skip them....
OpenAI API key will be used in this project, so please set your own API key in gpt_config.txt like this: https://api.openai.com/v1/chat/completions yourapikey 💻Hardware Platform 8 NVIDIA 4090s: for experiments of LLaMA models' evaluation. NVIDIA A800 (80G): for fine-tuning. 💾Be...