Embedding,或嵌入,通常指的是将文本数据(如单词、短语或整个文档)转换为数值向量的过程。这些数值向量捕捉了文本的语义特征,使得计算机能够理解和处理语言数据。 图源:OpenAI Embedding 的主要用途: 1.降维:原始文本数据通常是高维的(例如,每个单词可以表示为一个大型的稀疏向量,其中向量的大小等于词汇表中的单词数量)...
The hypersphere itself is tiny compared the volume of the embedding space (they actually tend to 0% the size of the unit hypercube in the limit). It’s only an issue if the anisotropy impacts performance, which I don’t think it does. It feels weird from a 3D perspective, but it’s...
2- Response: {"description":null,"embedding_config":{"embedding_endpoint_type":"hugging-face","embedding_endpoint":"https://embeddings.memgpt.ai","embedding_model":"letta-free","embedding_dim":1024,"embedding_chunk_size":300,"azure_endpoint":null,"azure_version":null,"azure_deployment":nul...
X_test, y_train, y_test = train_test_split( df1[emb].values, df1.Score, test_size=0.25, random_state=76 ) # Stack the training and testing
I think you are asking the limits of max training job size, if I am not correct, please let me know. The limits are subject to change. We anticipate that you will need higher limits as you move toward production and your solution scales. When you know your solution requirements, please ...
openai.error.InvalidRequestError: The completion operation does not work with the specified model, text-embedding-ada-002.Please choose different model and try again. You can learn more about which models can be used with each operation here: https://go.microsoft.com/fwlink/?linkid=2...
embeddings = OpenAIEmbeddings(openai_api_key=embedding_model_dict[model], chunk_size=CHUNK_SIZE) elif 'bge-' in model: embeddings = HuggingFaceBgeEmbeddings(model_name=embedding_model_dict[model], model_kwargs={'device': device}, query_instruction="为这个句子生成表示以用于检索相关文章:") if ...
Usage import{fromPreTrained}from"@lenml/tokenizer-text_embedding_ada002";consttokenizer=fromPreTrained();console.log("encode()",tokenizer.encode("Hello, my dog is cute",null,{add_special_tokens:true,}));console.log("_encode_text",tokenizer._encode_text("Hello, my dog is cute")); ...
Hi, it looks like this model is available now in East US which is great, however, it seems like it doesn't have the latest token size capabilities. According to Open AI... Longer context. The context length of the new model is increased by a factor of four, from 2048 ...
This code introduces a 60-second delay after processing each document, which should help avoid exceeding the rate limit. Please note that this is a simple example and the actual delay may need to be adjusted based on the size of your documents and your specific rate limit. ...