源码聚合搜索 - 壹搜网为您找到"

从零理解 LLM 与 Agent

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agentcatalog/secrets-manager

Specialized in secure credential storage, rotation, and access control
hub.docker.com

agentcatalog/github-action-pr-description-generator

Automatically generates comprehensive PR descriptions from commits and code changes
hub.docker.com

agentcatalog/deployment-strategist

Specialized in blue-green, canary, rolling updates, and zero-downtime deployments
hub.docker.com

agentcatalog/kubernetes-deploy

Specialized in manifests, helm charts, kubectl operations, and cluster management
hub.docker.com

agentcatalog/performance-optimizer

Focused on identifying bottlenecks, reducing latency, and improving resource efficiency
hub.docker.com

agentcatalog/database-expert

Specialized in sql/nosql databases, schema design, and database optimization
hub.docker.com

agentcatalog/docker-optimizer

Focused on dockerfile best practices, image size reduction, and container performance
hub.docker.com

agentcatalog/github-action-playwright-flaky-test-analyzer

Identifies and diagnoses flaky Playwright E2E tests with browser-specific insights
hub.docker.com

mirantis/k8s-netchecker-agent

Basic network checker agent to check DNS and connectivity in kubernetes cluster
hub.docker.com

企业级 AI 研发的正确姿势:开源 LLM + LoRA轻松提效_Phodal的博客-CSDN博客

本文的阅读成本很低,不需要大量地先验 AI 知识。作为纯纯的软件工程师,我们发现:学懂基本的 AI Prompt 原理模式,不懂 LLM (大语言模型)算法,你也可以轻易驾驭 LoRA (Low-Rank Adaptation of LLM,即插件式的微调)训练。 在构建了 ClickPrompt
blog.csdn.net