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摘要: https://hellowac.github.io/uv-zh-cn/getting-started/features/#venv-virtualenv 功能概览 uv 提供了丰富的功能,涵盖了从安装 Python 和运行简单脚本,到支持多 Python 版本和多平台的大型项目开发的各个方面。 u 阅读全文
posted @ 2025-02-25 15:55 lightsong 阅读(5) 评论(0) 推荐(0) 编辑
摘要: langchain-rag https://github.com/fanqingsong/langchain-rag from dotenv import load_dotenv import os, time load_dotenv() print(" SILICONFLOWAI_API_KEY 阅读全文
posted @ 2025-02-25 09:33 lightsong 阅读(9) 评论(0) 推荐(0) 编辑
摘要: RAG From Scratch https://github.com/langchain-ai/rag-from-scratch LLMs are trained on a large but fixed corpus of data, limiting their ability to reas 阅读全文
posted @ 2025-02-25 09:08 lightsong 阅读(0) 评论(0) 推荐(0) 编辑
摘要: ragas https://docs.ragas.io/en/latest/ Ragas is a library that provides tools to supercharge the evaluation of Large Language Model (LLM) applications 阅读全文
posted @ 2025-02-23 21:09 lightsong 阅读(3) 评论(0) 推荐(0) 编辑
摘要: List of top LLM Observability Tools https://drdroid.io/engineering-tools/list-of-top-llm-observability-tools Introduction Observability refers to the 阅读全文
posted @ 2025-02-23 20:27 lightsong 阅读(2) 评论(0) 推荐(0) 编辑
摘要: LLM Observability Tools: 2025 Comparison https://lakefs.io/blog/llm-observability-tools/ As OpenAI unveiled ChatGPT, which swiftly explained difficult 阅读全文
posted @ 2025-02-23 20:17 lightsong 阅读(4) 评论(0) 推荐(0) 编辑
摘要: Top 15 LLMOps Tools for Building AI Applications in 2025 https://www.datacamp.com/blog/llmops-tools We have moved past making large language models (L 阅读全文
posted @ 2025-02-23 19:47 lightsong 阅读(12) 评论(0) 推荐(0) 编辑
摘要: RAG-Raptor-RE-Ranker-demo https://github.com/BlueBash/RAG-Raptor-RE-Ranker-demo The method of re-ranking involves a two-stage retrieval system, with r 阅读全文
posted @ 2025-02-23 17:16 lightsong 阅读(1) 评论(0) 推荐(0) 编辑
摘要: LLM Evaluation: Metrics, Methodologies, Best Practices https://www.datacamp.com/blog/llm-evaluation Key Metrics for LLM Evaluation Evaluating LLMs req 阅读全文
posted @ 2025-02-23 16:56 lightsong 阅读(7) 评论(0) 推荐(0) 编辑
摘要: Langchain-Evaluation Framework https://medium.com/@rahulpant.me/langchain-evaluation-framework-8ac1a95c9050 In this blog, we will look at how Langchai 阅读全文
posted @ 2025-02-23 16:39 lightsong 阅读(3) 评论(0) 推荐(0) 编辑
摘要: LangChain: LLM App Evaluation https://dev.to/rutamstwt/langchain-llm-app-evaluation-3m2l As language models (LLMs) continue to advance, their applicat 阅读全文
posted @ 2025-02-23 16:28 lightsong 阅读(2) 评论(0) 推荐(0) 编辑
摘要: Deploy Machine Learning Models with Keras, FastAPI, Redis and Docker https://github.com/shanesoh/deploy-ml-fastapi-redis-docker webserver """ Web serv 阅读全文
posted @ 2025-02-22 21:04 lightsong 阅读(0) 评论(0) 推荐(0) 编辑
摘要: Deploy Machine Learning Models with Keras, FastAPI, Redis and Docker https://medium.com/analytics-vidhya/deploy-machine-learning-models-with-keras-fas 阅读全文
posted @ 2025-02-22 20:48 lightsong 阅读(3) 评论(0) 推荐(0) 编辑
摘要: Deploying a Docker Stack to Docker Swarm https://quileswest.medium.com/deploying-a-docker-stack-to-docker-swarm-b2f9cc80f145 This lab we will create a 阅读全文
posted @ 2025-02-22 20:35 lightsong 阅读(4) 评论(0) 推荐(0) 编辑
摘要: Implementing FastAPI Services – Abstraction and Separation of Concerns This article introduces an approach to structure FastAPI applications with mult 阅读全文
posted @ 2025-02-22 19:14 lightsong 阅读(4) 评论(0) 推荐(0) 编辑
摘要: fastapi-versioning https://github.com/DeanWay/fastapi-versioning from fastapi import FastAPI from fastapi_versioning import VersionedFastAPI, version 阅读全文
posted @ 2025-02-21 22:37 lightsong 阅读(2) 评论(0) 推荐(0) 编辑
摘要: Build a Retrieval Augmented Generation (RAG) App https://python.langchain.com/docs/tutorials/rag/ One of the most powerful applications enabled by LLM 阅读全文
posted @ 2025-02-19 22:26 lightsong 阅读(5) 评论(0) 推荐(0) 编辑
摘要: how langchain call api https://sj-langchain.readthedocs.io/en/latest/chains/langchain.chains.api.openapi.chain.OpenAPIEndpointChain.html https://pytho 阅读全文
posted @ 2025-02-19 22:19 lightsong 阅读(3) 评论(0) 推荐(0) 编辑
摘要: langchain serialization https://zhuanlan.zhihu.com/p/640693519 8序列化 这个笔记本涵盖了如何将链序列化到磁盘和从磁盘序列化。我们使用的序列化格式是json或yaml。目前,只有一些链支持这种类型的序列化。我们将随着时间的推移增加支持的链 阅读全文
posted @ 2025-02-19 21:35 lightsong 阅读(4) 评论(0) 推荐(0) 编辑
摘要: pydantic.computed_field() https://github.com/weet-ai/text2sql-workshop/blob/main/text2sql/text2sql/core.py from langchain.chat_models import ChatOpenA 阅读全文
posted @ 2025-02-19 13:35 lightsong 阅读(4) 评论(0) 推荐(0) 编辑
摘要: Mastering Natural Language to SQL with LangChain | NL2SQL https://blog.futuresmart.ai/mastering-natural-language-to-sql-with-langchain-nl2sql By the e 阅读全文
posted @ 2025-02-16 22:27 lightsong 阅读(10) 评论(0) 推荐(0) 编辑
摘要: 豆包推荐 智谱 AI:其 GLM - 4 - Flash 模型 API 全部免费,还开启限时免费微调活动。同时,面向 OpenAI API 用户提供特别搬家计划,为开发者提供 1.5 亿 Token(5000 万 GLM - 4 + 1 亿 GLM - 4 - Air),以及从 OpenAI 到 G 阅读全文
posted @ 2025-02-16 20:51 lightsong 阅读(19) 评论(0) 推荐(0) 编辑
摘要: B - A..B..C https://atcoder.jp/contests/abc393/tasks/abc393_b #include <bits/stdc++.h> using namespace std; int main(){ string s; cin >> s; int tot = 阅读全文
posted @ 2025-02-16 10:28 lightsong 阅读(3) 评论(0) 推荐(0) 编辑
摘要: Incremental addition of vectors to FAISS https://github.com/facebookresearch/faiss/issues/1284 There will be some regimes in which PQ provides a speed 阅读全文
posted @ 2025-02-13 11:12 lightsong 阅读(13) 评论(0) 推荐(0) 编辑
摘要: Understanding FAISS Indexing https://arithmancylabs.medium.com/understanding-faiss-indexing-86ec98048bd9 In this article we will dive deep into the Fa 阅读全文
posted @ 2025-02-13 10:55 lightsong 阅读(6) 评论(0) 推荐(0) 编辑
摘要: How to Use FAISS to Build Your First Similarity Search https://medium.com/loopio-tech/how-to-use-faiss-to-build-your-first-similarity-search-bf0f708aa 阅读全文
posted @ 2025-02-13 10:51 lightsong 阅读(5) 评论(0) 推荐(0) 编辑
摘要: Similarity Search with FAISS: A Practical Guide to Efficient Indexing and Retrieval https://medium.com/@devbytes/similarity-search-with-faiss-a-practi 阅读全文
posted @ 2025-02-13 10:50 lightsong 阅读(8) 评论(0) 推荐(0) 编辑
摘要: python uv stands for what? uv 是 Python 生态中一个新兴的高性能工具,由 Rust 编写,旨在替代传统的 pip 和 venv。它由 Charlie Marsh(知名工具 Ruff 的开发者)主导开发,核心目标是解决 Python 包管理的速度和效率问题。 核心功 阅读全文
posted @ 2025-02-10 19:36 lightsong 阅读(12) 评论(0) 推荐(0) 编辑
摘要: Agentic Object Detection https://landing.ai/agentic-object-detection https://zhuanlan.zhihu.com/p/405658103 在机器学习的分类任务中,绕不开准确率(accuracy),精确率(precision 阅读全文
posted @ 2025-02-10 13:47 lightsong 阅读(30) 评论(0) 推荐(0) 编辑
摘要: FastAPI for Machine Learning: Live coding an ML web application https://www.bilibili.com/video/BV1kC411b7Se/?spm_id_from=333.788.videopod.sections&vd_ 阅读全文
posted @ 2025-02-08 23:08 lightsong 阅读(6) 评论(0) 推荐(0) 编辑
摘要: langgraph https://github.com/langchain-ai/langgraph/tree/main/examples LangGraph is a library for building stateful, multi-actor applications with LLM 阅读全文
posted @ 2025-01-27 17:14 lightsong 阅读(9) 评论(0) 推荐(0) 编辑
摘要: Ray Serve https://python.langchain.com/docs/integrations/providers/ray_serve/#example-of-deploying-and-openai-chain-with-custom-prompts Ray Serve Ray 阅读全文
posted @ 2025-01-27 15:34 lightsong 阅读(8) 评论(0) 推荐(0) 编辑
摘要: full-stack-fastapi-template End-to-End Testing with Playwright https://github.com/fastapi/full-stack-fastapi-template/tree/master/frontend 切换到项目使用的nod 阅读全文
posted @ 2025-01-27 10:40 lightsong 阅读(16) 评论(0) 推荐(0) 编辑
摘要: What is the difference between OpenAI and ChatOpenAI in LangChain? https://stackoverflow.com/questions/76950609/what-is-the-difference-between-openai- 阅读全文
posted @ 2025-01-25 21:34 lightsong 阅读(18) 评论(0) 推荐(0) 编辑
摘要: python打包工具优缺点对比 PyInstaller 优点 跨平台支持:能够在 Windows、macOS、Linux 等不同操作系统上使用,并且可以将 Python 脚本打包成对应平台的可执行文件。 依赖管理:自动检测并打包 Python 脚本所依赖的库,减少了部署时的环境配置问题。 简单易用: 阅读全文
posted @ 2025-01-24 09:49 lightsong 阅读(47) 评论(0) 推荐(0) 编辑
摘要: 使用 Gunicorn 部署 FastAPI 应用程序:快速而强大的组合 https://juejin.cn/post/7348003004123463717 本地部署 本地开发调试过程中,我通常是这样启动Fastapi服务的 在终端中运行: uvicorn main:app --host 0.0. 阅读全文
posted @ 2025-01-23 16:49 lightsong 阅读(11) 评论(0) 推荐(0) 编辑
摘要: windows服务管理 在 Windows 系统中,有多种方法可以管理服务。以下是一些常用的服务管理方法: 1. 服务控制管理器 (SCM) 服务控制管理器是一个系统级别的工具,用于启动、停止、暂停和恢复服务。它可以通过以下方式访问: 运行命令:在“运行”对话框(快捷键 Win + R)中输入 se 阅读全文
posted @ 2025-01-23 14:56 lightsong 阅读(50) 评论(0) 推荐(0) 编辑
摘要: pyinstaller https://pyinstaller.org/en/stable/installation.html PyInstaller bundles a Python application and all its dependencies into a single packag 阅读全文
posted @ 2025-01-22 13:56 lightsong 阅读(15) 评论(0) 推荐(0) 编辑
摘要: Pre-training vs Fine-tuning https://developer.volcengine.com/articles/7399549896799780874 Fine-tuning 微调的技术原理是什么?在预训练模型的基础上,针对特定任务或数据领域,通过 在新任务的小规模标注数 阅读全文
posted @ 2025-01-16 16:47 lightsong 阅读(10) 评论(0) 推荐(0) 编辑
摘要: Hyperparameter https://blog.csdn.net/2401_85377976/article/details/141598610 Hyperparameter超参数(Hyperparameter), 是机器学习算法中的调优参数,用于控制模型的学习过程和结构。与模型参数(Mod 阅读全文
posted @ 2025-01-16 16:44 lightsong 阅读(13) 评论(0) 推荐(0) 编辑
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