Step 2(任务指令数据自动生成):构建 prompt 调用 text-davinci-003 接口批量生成指令数据,prompt 由两部分拼接组成:一部分是指令生成的要求(如下所示),另一部分是从人工编写的指令种子集合中随机采样的3个样例作为 prompt 中的 in-context 样例。 You are asked to come up with a set of 20 diverse task in...
在prompt设计上,精调以及预测时采用的都是原版Stanford Alpaca不带input的模版。对于包含input字段的数据,采用f"{instruction}+\n+{input}"的形式进行拼接。 其中,Stanford Alpaca 格式如下所示: [ {"instruction" : ..., "input" : ..., "output" : ...}, ...] 首先,修改模型精调脚本run_sft.sh,...
在prompt设计上,精调以及预测时采用的都是原版Stanford Alpaca不带input的模版。对于包含input字段的数据,采用f"{instruction}+\n+{input}"的形式进行拼接。 其中,Stanford Alpaca 格式如下所示: [ {"instruction" : ..., "input" : ..., "output" : ...}, ... ] 首先,修改模型精调脚本run_sft.sh...
device_map='auto')local_llm=HuggingFacePipeline(pipeline=pipeline)template="""Question: {question}Answer: Let's think step by step."""prompt=PromptTemplate(template=template,input_variables=["question"])llm_chain=LLMChain(prompt=prompt,llm=local_llm)llm_chain.run('What is the capital of India...
Unveiling the epitome of modernity, digital printing is an incredibly versatile and prompt process. Instead of utilizing plates, this technique processes the artwork digitally and directly translates it onto the paper. This allows for swift turn-around times and cost-effective short-run prints. Plus...
在prompt设计上,精调以及预测时采用的都是原版Stanford Alpaca不带input的模版。对于包含input字段的数据,采用f"{instruction}+\n+{input}"的形式进行拼接。 其中,Stanford Alpaca 格式如下所示: [ {"instruction" : ..., "input" : ..., "output" : ...}, ...] 首先,修改模型精调脚本run_sft.sh,...
首先使用 self-instruct 种子集中的175 个人工编写的指令-输出(instruction-output)对,然后用该种子集作为 in-context 样本 prompt text-davinci-003模型来生成更多指令。Alpaca通过简化生成 pipeline 改进了 self-instruct 方法,并显著降低了成本。Alpaca官方声称基于openai的API生成52k指令数据集的费用<500美元。 有了...
Data input format: https://huggingface.co/datasets/tatsu-lab/alpaca#data-instancesThe input is created using the prompt template from the original alpaca codebase: https://github.com/tatsu-lab/stanford_alpaca/blob/761dc5bfbdeeffa89b8bff5d038781a4055f796a/train.py#L31where `instruction`, `...
$ cog predict -i prompt="Tell me something about alpacas."Alpacas are domesticated animals from South America. They arecloselyrelated tollamasandguanacosandhave a long, dense, woolly fleece that is used to make textiles. They are herd animalsandlive in small groups in theAndesmountains. They ...
Make sure it has the same format as alpaca_data_cleaned.json. Run the fine-tuning script: cog run python finetune.py This takes 3.5 hours on a 40GB A100 GPU, and more than that for GPUs with less processing power. Step 5: Run the model with Cog $ cog predict -i prompt="Tell me...