研究表明,GELU函数可以提高深度学习模型的训练速度和准确性,特别是在自然语言处理任务中。 class NewGELU(nn.Module): """ Implementation of the GELU activation function currently in Google BERT repo (identical to OpenAI GPT). Reference: Gaussian Error Linear Units (GELU) paper: https://arxiv.org/abs...
model_args = dict(n_layer=n_layer, n_head=n_head, n_embd=n_embd, block_size=block_size, bias=bias, vocab_size=None, dropout=dropout) # start with model_args from command line if init_from == 'scratch': # init a new model from scratch print("Initializing a new model from scratc...
An implementation of model & data parallel GPT3-like models using the mesh-tensorflow library. If you're just here to play with our pre-trained models, we strongly recommend you try out the HuggingFace Transformer integration. Training and inference is officially supported on TPU and should work...
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library. EleutherAI 是一个由机器学习研究人员组成的分布式小组,旨在将 GPT-3 带给所有人。
An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library. - mbrukman/gpt-neox
从old context(例如 010)到 new context(例如 101)就称为一次状态转移。 1.5 马尔科夫链 根据以上分析,我们的简化版 GPT 其实就是一个有限状态马尔可夫链( Finite State Markov Chain):一组有限状态和它们之间的转移概率, Token sequence(例如 [0,1,0])组成状态集合, ...
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...
Whether you're just starting to explore the possibilities it brings to the table or looking to improve your current implementation, we hope this post provides valuable pointers to help you successfully deploy an app that is based on this revolutionary new model. ...
tokenizer = AutoTokenizer.from_pretrained(output)model = AutoModelForCausalLM.from_pretrained(output, attn_implementation="flash_attention_2", torch_dtype=torch.bfloat16, device_map='cuda')model.eval()tokens = tokenizer.encode(prompt, return_tensors="pt")tokens = tokens.to('cuda') ...
According to numerous reports, ChatGPT represents a significant breakthrough in the field of artificial intelligence. ChatGPT is a pre-trained AI model designed to engage in natural language conversations, utilizing sophisticated techniques from Natural