Author: JAMIUL ISLAM - Page 2

Inclusive prompt design ensures large language models work for everyone-not just fluent English speakers. Learn how IPEM improves accuracy, reduces frustration, and expands access for diverse users across cultures, languages, and abilities.

AI-generated code often works-but not well. Learn when to rewrite instead of refactoring to avoid technical debt, security risks, and wasted effort. Data-driven guidelines for smarter decisions.

Vibe coding slashes software development costs by up to 85% but increases long-term maintenance expenses. Learn how AI-powered development is reshaping competition, skills, and economic risks in 2026.

BLEU and ROUGE are outdated for evaluating modern LLMs. Semantic metrics like BERTScore and BLEURT measure meaning, not word overlap, and correlate far better with human judgment. Here's how to use them effectively.

Learn the essential KPIs and dashboard practices for monitoring large language model health in production. Track hallucinations, cost, latency, and safety to prevent failures and maintain user trust.

Learn how to reduce LLM hallucinations by teaching models to say 'I don't know' using uncertainty prompts and structured training methods like US-Tuning - proven to cut false confidence by 67% in real-world applications.

Clean architecture in vibe-coded projects keeps AI-generated code from tainting your core logic with framework dependencies. Learn how to enforce boundaries, use tools like Sheriff, and build maintainable apps faster.

Learn how to implement generative AI responsibly with governance, oversight, and compliance frameworks that prevent legal risks, bias, and reputational damage. Real-world strategies for 2026.

Wasp is a declarative full-stack framework that generates React, Node.js, and PostgreSQL code from a simple config file, cutting development time by 60-70%. Ideal for MVPs and internal tools.

Real-time multimodal assistants powered by large language models can see, hear, and respond instantly to text, images, and audio. Learn how GPT-4o, Gemini 1.5 Pro, and Llama 3 work today-and where they still fall short.

Learn how to protect private documents in RAG systems using multi-layered security, encryption, access controls, and real-world best practices to prevent data leaks in enterprise AI workflows.

AI-generated code is everywhere-but without verification, provenance, and watermarking, it’s a ticking time bomb. Learn how trustworthy AI for code is changing software development in 2026.