A parameter is a variable in an AI training model. The more parameters a model has, the more likely it is to give accurate responses across a range of topics. This is why GPT-4 is able to do a notably broad range of tasks, including generate code, take a legal exam, and write orig...
notes:https://laisky.notion.site/What-Is-ChatGPT-Doing-and-Why-Does-It-Work-6d390e2e44eb40498bd8b7add36bcc94?pvs=4slides:https://s3.laisky.com/public/slides/What%20Is%20ChatGPT.slides.html#/Ⅰ、It’s Just Adding One Word at a Time在 GPT 流利的对话背后,GPT 实际上只专注于做一件事...
实际上,我们正在 “打开 ChatGPT 的大脑”(或至少是 GPT-2),并发现,是的,里面很复杂,而且我们不了解它 —— 尽管最终它产生了可识别的人类语言。 好吧,在经历了一个注意力区块之后,我们得到了一个新的嵌入向量 —— 然后它又被连续地传递到其他的注意力区块中(GPT-2 共有 12 个;GPT-3 有 96 个)。...
GPT is a family of AI models built by OpenAI. It stands for Generative Pre-trained Transformer, which is basically a description of what the AI models do and how they work (I'll dig into that more in a minute). Initially, GPT was made up of only LLMs (large language models). But...
The more probable/frequent a token is, the lower the token number assigned to it: The token generated for the period is the same (“13”) in all 3 sentences. This is because, contextually, the period is used pretty similarly throughout the corpus data. ...
We answer the question 'what is TruthGPT and provide the key information you need to know about the new arrival.
AugustFeatureEnhanced semantic ranking. Upgraded models are rolling out for semantic reranking, and availability is extended to more regions. Maximum unique token counts doubled from 128 to 256. JulySampleVector demo (Azure SDK for JavaScript). Uses Node.js and the@azure/search-documents 12.0.0-...
Autoregressive models: This type of transformer model is trained specifically to predict the next word in a sequence, which represents a huge leap forward in the ability to generate text. Examples of autoregressive LLMs include GPT,Llama, Claude and the open-source Mistral. ...
Although ChatGPT is a series of language models, it generates output differently. Instead of using individual letters, ChatGPT uses tokens and pieces of words to create words. For example, the worddogis one token, but the wordalligatoris made up of two tokens:allandigator. To create output...
Even though ChatGPT predicts only one token at a time, its auto-regressive technology is programmed to predict and feed back into the primary model to release the output. The model is tuned to run only once for every token, so the result is printed one word at a time. The output stops...