还有一种可能的方法是对摘要文本与原始图片都进行embedding后做向量化存储,后续在做语义检索时一起搜索出来,这种方法依赖于图嵌入技术,暂不做讨论。 从这个过程可以看到,即使不采用LangChain,你也可以借助各种工具的API接口来实现这个方案。当然如果你借助langchain,这个过程会更加简单,这里做简单演示: # vectorstore:向...
Step #1: Install Autodistill and Configure GPT-4V API We are going to useAutodistillto build a two-stage detection model. Autodistill is an ecosystem that lets you use foundation models likeCLIPand Grounding DINO to label data for use in training a fine-tuned model. ...
import google.generativeai as genai import os genai.configure(api_key= "Google_gemini_api") 关于Google_gemini_api,在gemini网站上是免费申请的,大家自行申请。这里如果有问题,可以联系我,进行协助,文章底部有微信号。 验证下是否安装正确 for m in genai.list_models(): if 'generateContent' in m.suppo...
斯坦福、微软、UCLA的顶尖学者联手,推出了一个全新交互式基础代理模型! 这个模型能处理文本、图像、动作输入,轻松应对多任务挑战,甚至跨界在机器人、游戏、医疗等领域展现强大实力。 注意:LangChain Agent主要增强基于语言的互动能力,而交互式代理基础模型寻求统一多模态输入,以实现更广泛的通用AI应用。 2.77亿参数、1340...
I am developing an iOS application that utilizes the GPT-4-V API to solve questions based on image input. The app also uses LangChain for chat functionality and MathChat (agent) from the Autogen framework for enhanced performance in solving mathematical problems. In certain scenarios...
api_version ="2023-12-01-preview" Best regards, Charlie If you find my response helpful, please consider accepting this answer and voting 'yes' to support the community. Thank you! Please sign in to rate this answer. 1 commentShow comments for this answerReport a concern ...
We thus leveraged our real-time API to integrate our eye tracking with GPT-4V. ## Steps To try this demo, you'll need a Neon or Pupil Invisible device, a computer/laptop with internet access, and an OpenAI key that has access to the latest GPT4-V model. ::: warning [Don’t ...
# 前者是API2D的结束条件,后者是OPENAI的结束条件 if ('data: [DONE]' in chunk_decoded) or (len(chunkjson['choices'][0]["delta"]) == 0): # 判定为数据流的结束,gpt_replying_buffer也写完了 lastmsg = chatbot[-1][-1] + f"{llm_kwargs['llm_model']}调用结束,该模型不具备上下文对话能...
IT之家 8 月 12 日消息,微软研究院近日联合加州大学伯克利分校,开发出名为 Gorilla 的全新大语言模型(LLM),表示在准确性、灵活性等 API 调用方面优于 GPT-4。 微软研究院表示即便 API 文档发生更改,在调用 API 时依然能生成正确的语义和语法。 GPT-4 固然是 OpenAI 研发的最强大 LLM,可驾驭生成文本、翻译语...
api_key = os.getenv("OPENAI_API_KEY") base_model = GPT4V( api_key=api_key, ontology=CaptionOntology( { "scratch": "scratch" } ) ) base_model.label("./images/", extension=".jpg") Here is error trace: base_model.label("./images/", extension=".jpg") ...