We look at a large number of evaluation metrics to determine if a new model should be released. While the majority of metrics have improved, there may be some tasks where the performance gets worse. 我们会根据大量的评价指标来确定是否发布新的模型,虽然新模型大多数指标都有所改进,但可能在一些任...
Speaking of new modalities, we're also releasing the next version of our open-source speech recognition model, Whisper V3 today, and it'll be coming soon to the API. It features improved performance across many lang...
scaling up LM greatly improves task-agnostic, few-shot performance. train GPT3-175B, which is applied without any gradient updates or finetuning. In-Context Learning 预训练+微调的局限性在于它需要任务特定的数据集和任务特定的微调,这样训练得到的其实是一个比较狭隘的“专才”,即 p(output|input) ,...
"model":"davinci","n_epochs":4,"batch_size":3,"learning_rate_multiplier":0.3}response=openai.FineTune.create(**create_args)job_id=response["id"]status=response["status"]print(f'Fine-tunning model with jobID: {job_id}.')print(f"Training Response: {response}")print(f"Training Status:...
As a result, our GPT-4 training run was (for us at least!) unprecedentedly stable, becoming our first large model whose training performance we were able to accurately predict ahead of time. 结果表明,GPT-4的训练过程(至少对我们来说)前所未有地稳定,它也成为我们训练过的第一个能够提前准确预测...
The United States Medical Licensing Examination (USMLE) has been a subject of performance study for artificial intelligence (AI) models. However, their performance on questions involving USMLE soft skills remains unexplored. This study aimed to evaluate
Improve the Bing wrapper. (might write a new wrapper in golang as it is very fast) Write a standard provider performance test to improve the stability Potential support and development of local models 🚧 Improve compatibility and error handling ...
1.2、战术:要求模型采用一种人物角色Tactic: Ask the model to adopt a persona The system message can be used to specify the persona used by the model in its replies. SYSTEM When I ask for help to write something, you will reply with a document that contains at least one joke or playful ...
ids = model.generate(inputs_not_chat, max_new_tokens=1000, do_sample=True) decoded...
E.G To generate text unconditionally with the GPT-NeoX-20B model, you can use the following: ./deepy.py generate.py ./configs/20B.yml Or optionally pass in a text file (e.gprompt.txt) to use as the prompt, which should be a plain.txtfile with each prompt separated by newline char...