AI and Machine Learning
Applied AI guidance for computer vision, voice, agents, RAG, workflow automation, TinyML, and AI-enabled connected products.
AI and Machine Learning articles
When an RK3588 Edge AI Box Fits Industrial Vision—and When It Does Not
A 6-TOPS RK3588 does not automatically deliver a production vision system. Learn how to qualify camera, RKNN, latency, thermal, recovery, and rollback boundaries.
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How to Choose a Local AI Model for Enterprise Deployment
The most expensive mistake in local AI selection is not choosing the second-best model. It is downloading a popular model before defining where data may go.
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FunASR for AI Voice Projects: Offline, Edge, or Cloud ASR?
FunASR belongs on the shortlist when audio must remain in a factory, clinic, meeting room, or private network; transcription must continue during an Internet outage.
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n8n AI Workflow Automation for Business Systems
n8n is most useful when it turns hand-offs scattered across webhooks, CRM, email, forms, tickets, and internal APIs into a visible process that can be replayed and.
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YOLO for Vision Inspection: From Acceptance Criteria to Edge Deployment
YOLO is a strong fit for a specific class of vision problem: determine whether a visible object is present, identify its class.
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When to Use Dify Instead of Custom AI App Development
If the main job is to connect user input, knowledge retrieval, model calls, branches, tools, and output into an observable AI process.
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When to Use LlamaIndex for RAG Knowledge Bases
LlamaIndex is not the right answer for every “upload documents and ask questions” project. It becomes valuable when the hard part is turning PDFs, websites.
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How to Build Practical AI Agents with OpenAI APIs
Practical OpenAI agent development is not just a chatbot demo. It requires clear tool definitions, authorization, structured outputs, human approval, logging.
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AI Vision Workstation vs Handheld Scanner: How to Choose for Warehouse Recognition
An AI vision workstation fits warehouse workflows that need visual verification, operator identity, photo evidence, and WMS or ERP writeback.
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AI Warehouse Recognition Workstation Use Cases
An AI warehouse recognition workstation fits workflows where item recognition, barcode scanning, image capture, operator identity.
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When to Use LangGraph for AI Agent Workflows
LangGraph is a strong fit for AI agent workflows that need explicit state, loops, human review, checkpoint recovery, and observability.
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Ollama for Local AI and Private Deployment: Enterprise Use Cases and Limits
Ollama is not the answer to "move all AI workloads on-premises." It is a practical fit when data needs to stay inside a controlled environment.
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