TASK OBJECTIVE(Optional): 描述后面待向量化的文本在当前任务中的应用方式,例如上面表格中对不同任务的不同描述。 更多关于指令的定义如下: 对称性向量化任务的更多指令 2.3、训练方式 在INSTRUCTOR 的训练过程中,将所有的数据都格式化为了一个元组表示形式: (I_x, x, I_y, y_+, I_y, y_{-})\tag*{} ...
我们引入了一种新的方法INSTRUCTOR,来计算task-specific的文本嵌入:每个input都和都和解释用例的instruction(例如,任务和领域描述)一起进行emb计算。 INSTRUCTOR将input text与instruction(task description)一起编码,从而提供可用于许多下游语言任务的task-specific的表示,而无需任何额外的训练。 训练过程: 一个含有330个多...
One Embedder, Any Task: Instruction-Finetuned Text Embeddings This repository contains the code and pre-trained models for our paper One Embedder, Any Task: Instruction-Finetuned Text Embeddings. Please refer to our project page for a quick project overview. We introduce Instructor👨🏫, ...
It constructs a user-specific embedding for each individual by modeling all her historical contexts through a lightweight plug-in user embedder module. By attaching this embedding to the task input, LLMs can better understand and capture user habits and preferences, thereby producing more ...
AnythingLLM supports a wide range of LLMs, including popular options like OpenAI, Azure OpenAI, Google Gemini Pro, and various open-source alternatives. Users can leverage embedding models from diverse sources, including AnythingLLM’s native embedder, OpenAI, LM Studio, and more, ...
AnythingLLM is the AI application you've been seeking. Use any LLM to chat with your documents, enhance your productivity, and run the latest state-of-the-art LLMs completely privately with no technical setup.
now you can use them all. even import docs from online locations full privacy anythingllm comes with sensible and locally running defaults for your llm, embedder, vector database, and storage and agents. nothing is shared unless you allow it. the all-in-one ai application everything great ...
now you can use them all. even import docs from online locations full privacy anythingllm comes with sensible and locally running defaults for your llm, embedder, vector database, and storage and agents. nothing is shared unless you allow it. the all-in-one ai application everything great ...
target: gm.modules.embedders.modules.FrozenCLIPEmbedder params: layer: hidden layer_idx: 11 version: openai/clip-vit-large-patch14 # crossattn and vector cond - is_trainable: False input_key: txt target: gm.modules.embedders.modules.FrozenOpenCLIPEmbedder2 params: arch: ViT-bigG-14-Text fr...
This repository contains the code and pre-trained models for our paperOne Embedder, Any Task: Instruction-Finetuned Text Embeddings. Please refer to ourproject pagefor a quick project overview. We introduceInstructor👨🏫, an instruction-finetuned text embedding model that can generate text ...