Black Seed USA AI Hub - Page 2
Style Transfer Prompts in Generative AI: Control Tone, Voice, and Format Like a Pro
Learn how to use style transfer prompts in generative AI to control tone, voice, and format-without losing meaning. Get practical steps, real-world examples, and pro tips for marketing and content teams.
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Prompt Chaining for Multi-File Refactors in Version-Controlled Repositories
Prompt chaining lets you safely refactor code across multiple files using AI, reducing errors by 68% compared to single prompts. Learn how to use it with LangChain, Autogen, and version control.
Guarded Tool Access: How to Sandbox External Actions in LLM Agents for Real-World Security
Sandboxing LLM agents is no longer optional-untrusted tool access can leak data even with perfect prompt filters. Learn how Firecracker, gVisor, Nix, and WASM lock down agents to prevent breaches.
Secure Defaults in Vibe Coding: How CSP, HTTPS, and Security Headers Protect AI-Generated Apps
Secure defaults in vibe coding - CSP, HTTPS, and security headers - are critical to protect AI-generated apps from attacks. Learn why platforms like Replit lead in security and how to fix common vulnerabilities before they're exploited.
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Security Telemetry and Alerting for AI-Generated Applications: What You Need to Know
AI-generated apps behave differently than traditional software. Learn how security telemetry tracks model behavior, detects prompt injections, and reduces false alerts-without relying on outdated tools.
Safety in Multimodal Generative AI: How Content Filters Block Harmful Images and Audio
Multimodal AI can generate images and audio from text-but harmful content slips through filters. Learn how companies are blocking dangerous outputs, the hidden threats in images and audio, and what you need to know before using these systems.
Impact Assessments for Generative AI: DPIAs, AIA Requirements, and Templates
Generative AI requires strict impact assessments under GDPR and the EU AI Act. Learn what DPIAs and FRIAs are, who needs them, how to use templates, and what happens if you skip them.
Agent-Oriented Large Language Models: Planning, Tools, and Autonomy
Agent-oriented large language models go beyond answering questions-they plan, use tools, and act autonomously. Learn how they work, where they're used, and why they're changing AI forever.
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Content Moderation for Generative AI: How Safety Classifiers and Redaction Keep Outputs Safe
Learn how safety classifiers and redaction techniques keep generative AI outputs safe from harmful content. Explore real tools, accuracy rates, and best practices for responsible AI deployment in 2025.
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How Usage Patterns Affect Large Language Model Billing in Production
LLM billing in production depends entirely on usage patterns-token volume, model type, and real-time spikes. Learn how tiered, volume, and hybrid pricing models impact costs, why transparency reduces churn, and what tools can prevent billing disasters.
Hybrid Search for RAG: How Combining Keyword and Semantic Retrieval Boosts LLM Accuracy
Hybrid search combines keyword and semantic retrieval to fix the biggest flaws in RAG systems. It ensures LLMs get both exact terms and contextual meaning-critical for healthcare, legal, and developer tools.
The Psychology of Letting Go: Trusting AI in Vibe Coding Workflows
Vibe coding is changing how developers work with AI. Learn how to trust AI suggestions without losing control, why junior and senior devs approach it differently, and how to avoid dangerous pitfalls in production code.