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Qborfy AI

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Latest from Qborfy AI

92 recent articles

Qborfy AI

Feb 18, 2026 · Artificial Intelligence

How Retrieval‑Augmented Generation (RAG) Supercharges LLM Answers – Complete Guide & Code

This article explains Retrieval‑Augmented Generation (RAG), detailing its offline knowledge‑base construction and online retrieval‑enhanced generation workflow, comparing it with traditional and fine‑tuned models, and providing step‑by‑step LangChain implementations, advanced techniques, and practical use‑case demos.

Embedding ModelsHybrid SearchLangChain

0 likes · 16 min read

How Retrieval‑Augmented Generation (RAG) Supercharges LLM Answers – Complete Guide & Code

Qborfy AI

Feb 11, 2026 · Artificial Intelligence

What Is an AI Agent? From Passive Models to Autonomous Digital Assistants

This article explains AI agents as autonomous systems that perceive environments, set goals, and act, contrasting them with traditional AI, detailing their core definition, architecture, key components, practical applications, implementation steps, classification, technology stack, case studies, emerging trends, challenges, and future directions.

AI AgentAgent ArchitectureAutoGPT

0 likes · 11 min read

What Is an AI Agent? From Passive Models to Autonomous Digital Assistants

Qborfy AI

Jan 13, 2026 · R&D Management

How Spec‑Driven AI Can Transform Your Development Workflow with CodeBuddy

This guide walks you through using Tencent's CodeBuddy AI and the open‑source Spec‑Kit to adopt a spec‑driven development process, covering environment setup, spec creation, AI‑assisted coding, task generation, checklist validation, risk analysis, and implementation, all illustrated with concrete commands, examples, and workflow diagrams.

AISpec-Driven Developmentautomation

0 likes · 21 min read

How Spec‑Driven AI Can Transform Your Development Workflow with CodeBuddy

Qborfy AI

Jan 12, 2026 · Artificial Intelligence

Mastering Claude Agent Skills: Build Reusable AI Knowledge Packages

This guide explains how Anthropic Claude’s Agent Skills act as reusable, file‑system‑based knowledge packages that transform a generic AI agent into a domain expert, detailing their structure, on‑demand loading process, best‑practice creation steps, a concrete code‑review skill example, workflow automation, and comparison with MCP.

AI automationAgent SkillClaude

0 likes · 11 min read

Mastering Claude Agent Skills: Build Reusable AI Knowledge Packages

Qborfy AI

Dec 17, 2025 · Artificial Intelligence

Unlocking AI Integration: A Hands‑On Guide to the Model Context Protocol (MCP)

The article introduces the Model Context Protocol (MCP), an open Anthropic standard that creates a secure, standardized, bidirectional bridge between large language models and external tools, then walks through its architecture, core components, Python server and client code, OpenAI integration, usage flow, ecosystem and future outlook.

AI IntegrationFastMCPJSON-RPC

0 likes · 8 min read

Unlocking AI Integration: A Hands‑On Guide to the Model Context Protocol (MCP)

Qborfy AI

Dec 16, 2025 · Artificial Intelligence

Mastering AI Function Calling: Turn LLMs into Actionable Assistants

Function Calling lets large language models invoke external tools or APIs during a conversation, transforming them from passive responders into proactive assistants; this guide explains the concept, workflow, and practical implementations with weather, parallel queries, and stock price examples using OpenAI’s Python SDK.

AI Function CallingLLMOpenAI SDK

0 likes · 9 min read

Mastering AI Function Calling: Turn LLMs into Actionable Assistants

Qborfy AI

Aug 25, 2025 · Artificial Intelligence

Unlocking AI Understanding: A Deep Dive into Embeddings and Their Real‑World Applications

This article explains how embeddings transform discrete items such as text, images, or user actions into continuous vectors, walks through the step‑by‑step workflow—from tokenization to normalization—highlights core properties, compares popular models, and showcases practical use cases in e‑commerce intent filtering and medical image retrieval, all backed by concrete examples and code.

AI Fundamentalsembeddingsmodel comparison

0 likes · 7 min read

Unlocking AI Understanding: A Deep Dive into Embeddings and Their Real‑World Applications

Qborfy AI

Aug 16, 2025 · Artificial Intelligence

Mastering LLM Tokens: How They Work, Cost, and Choose the Right Model

This article explains what tokens are in large language models, how they are counted and priced, compares tokenization methods across major models, and provides practical guidelines and code examples for optimizing token usage and selecting the appropriate model for different scenarios.

AILLMTokenization

0 likes · 8 min read

Mastering LLM Tokens: How They Work, Cost, and Choose the Right Model

Qborfy AI

Aug 12, 2025 · Artificial Intelligence

What Powers Large Language Models? A Deep Dive into LLM Architecture and Scaling

This article explains how massive Transformer‑based large language models compress text data into mathematical representations, why scale, self‑attention, and training paradigms enable emergent general intelligence, and walks through tokenization, embedding, multi‑layer attention, architecture choices, energy costs, and hallucination mitigation.

AIEmbeddingLLM

0 likes · 6 min read

What Powers Large Language Models? A Deep Dive into LLM Architecture and Scaling

Qborfy AI

Aug 8, 2025 · Artificial Intelligence

Why Transformers Revolutionized AI: A Deep Dive into Self‑Attention

This article explains how the Transformer model replaces sequential RNN processing with parallel self‑attention, detailing its core components, positional encoding, encoder‑decoder workflow, industry impact, and surprising facts such as training speed gains and energy efficiency.

AISelf-AttentionTransformer

0 likes · 5 min read

Why Transformers Revolutionized AI: A Deep Dive into Self‑Attention