11 2024 档案
摘要:use-case-airflow-llm-rag-finance https://github.com/fanqingsong/use-case-airflow-llm-rag-finance/tree/main airflow更新文档到向量数据库,应用使用向量数据库。 LLMOps: Automa
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摘要:What is a service mesh? https://www.techtarget.com/searchitoperations/definition/service-mesh A service mesh is a dedicated infrastructure layer that
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摘要:https://philcalcado.com/2017/08/03/pattern_service_mesh.html Since their first introduction many decades ago, we learnt that distributed systems enabl
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摘要:vault-local-dev https://github.com/fanqingsong/vault-local-dev Vault for Local Development This is a docker compose setup for development work using V
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摘要:IaC(Infrastructure as Code) https://www.zhihu.com/question/346381748 IaC(Infrastructure as Code) 表示基础设施即代码,是DevOps中的一个重要实践。 IaC的主要思想是将服务器、网络、存储、安全等基础架
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摘要:langchain_core.utils.image https://api.python.langchain.com/en/latest/_modules/langchain_core/utils/image.html import base64 import mimetypes [docs]de
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摘要:Image Extraction with Langchain and Gemini: A Step-by-Step Guide https://medium.com/vectrix-ai/image-extraction-with-langchain-and-gemini-a-step-by-st
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摘要:Structured Output https://python.langchain.com/v0.1/docs/modules/model_io/chat/structured_output/ It is often crucial to have LLMs return structured o
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摘要:Jenkins PipeLine 联动参数 https://blog.csdn.net/smartvxworks/article/details/137716743 properties([ parameters([ [$class: "ChoiceParameter", choiceType: "
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摘要:openCV检测物体是否运动 https://blog.csdn.net/XiBuQiuChong/article/details/135419293 int fmle::capCam() { videoCap.open(0); cv::Mat frame1, frame2; BOOL ifSucc
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摘要:Computer Vision https://zhuanlan.zhihu.com/p/44420871 1.1 概念 计算机视觉(Computer Vision)是研究计算机如何像人类视觉系统 一样,从数字图像或视频中理解其高层内涵的一门学科,简言之就是研究如何让计算机看懂世界,由于它包括对数字
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摘要:copying model and updating field https://github.com/pydantic/pydantic/discussions/2710 from datetime import datetime from typing import List, Optional
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摘要:https://blog.csdn.net/benbenlv_0527/article/details/103992093 什么是OAMOAM是指根据运营商网络运营的实际需要,通常将网络的管理工作划分为3大类:操作(Operation)、管理(Administration)、维护(Maintenan
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摘要:Message histories https://python.langchain.com/docs/integrations/memory/ 众多数据库支持。 redis数据库 https://www.cnblogs.com/mangod/p/18243321 from langchain_co
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摘要:aiortc https://github.com/aiortc/aiortc/tree/main WebRTC and ORTC implementation for Python using asyncio What is aiortc? aiortc is a library for Web
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摘要:GoEx: A Runtime for Autonomous LLM Applications https://gorilla.cs.berkeley.edu/blogs/10_gorilla_exec_engine.html Moving from Chatbots to Autonomous A
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摘要:semantic-router https://www.aurelio.ai/semantic-router DeterministicDecision Makingfor AI. Semantic Router is a superfast decision-making layer for yo
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摘要:groq https://console.groq.com/playground https://groq.com/ Welcome to GroqChat™, we're glad you're here! Please enjoy this fast AI inference demo Powe
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摘要:Mastering RAG Chatbots: Semantic Router — RAG gateway https://medium.com/@talon8080/mastering-rag-chatbots-semantic-router-rag-gateway-part-1-0773cf4e
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摘要:movie-recommender-chatbot https://github.com/7AM7/movie-recommender-chatbot/tree/main import logging from semantic_router import Route, RouteLayer fro
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摘要:RAG_SemanticRouting https://github.com/UribeAlejandro/RAG_SemanticRouting/tree/main Chat Agent with semantic routing. The question is evaluated and ro
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摘要:LOGIC ROUTER 使用代码逻辑调用子agent https://github.com/ganeshnehru/RAG-Multi-Modal-Generative-AI-Agent import re import logging from chains.code_assistant imp
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摘要:YOLOv8 https://github.com/T-adnane/Fire-Detection-using-YOLOv8/tree/main https://github.com/Eemrkcgl/fire_smoke_detection/tree/main https://github.com
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摘要:Single-Agent vs Multi-Agent AI Comparison https://integrail.ai/blog/single-agent-vs-multi-agent-ai-comparison Choosing the Right System The choice bet
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摘要:llamaindex from pathlib import Path from llama_index.core import SimpleDirectoryReader, StorageContext, Document from llama_index.core.schema import I
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摘要:humanlayer https://github.com/humanlayer/humanlayer?tab=readme-ov-file HumanLayer: A python toolkit to enable AI agents to communicate with humans in
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摘要:LLMOps Essentials: A Practical Guide to Operationalizing Large Language Models https://www.datacamp.com/blog/llmops-essentials-guide-to-operationalizi
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摘要:https://towardsdatascience.com/intro-to-llm-agents-with-langchain-when-rag-is-not-enough-7d8c08145834 As always, you can find the code on GitHub, and
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摘要:official https://python.langchain.com/v0.1/docs/modules/agents/agent_types/react/ https://python.langchain.com/v0.2/api_reference/langchain/agents/lan
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摘要:application and ability https://arxiv.org/pdf/2402.15116 LMAs, proficient in processing diverse data modalities, surpass language-only agents in decis
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摘要:在正态分布 中,曲线中间凸起的是“头”,两边相对平缓的部分叫做“尾”。 对于绝大部分的需求来说,都会集中在中间凸起的“头”处,但是除了“头”,还有两边长长的“尾”。不同于中间的“头”,分布在尾部的需求是个性化的,零散的,少量的需求。这部分需求,构成了一条长长的“尾巴”,所谓的长尾效应就是在于,它的数
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摘要:CREWAI ROUTER https://docs.crewai.com/concepts/flows The @router() decorator in Flows allows you to define conditional routing logic based on the outp
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摘要:CrewAI-Multimodal-Agent https://github.com/mdwoicke/CrewAI-Multimodal-Agent # AI Crew for Reviewing Markdown Syntax ## Introduction This project is an
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摘要:import asyncio from langchain_openai import ChatOpenAI from langchain.agents import tool from langchain_core.prompts import ChatPromptTemplate, Messag
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