Author: JAMIUL ISLAM - Page 2

Vibe coding speeds up development but creates chaotic codebases. Learn how to onboard developers with playbooks, codebase tours, and AI prompt documentation to avoid confusion and burnout.

Toolformer teaches large language models to use tools like calculators and search engines on their own-without human labels. It boosts accuracy in math and facts while keeping language skills intact.

Learn how red teaming exposes data leaks in large language models, why it's now legally required, and how to test your AI safely using free tools and real-world methods.

Modern OCR powered by multimodal AI can extract structured data from images with 90%+ accuracy, turning messy documents into clean, usable information. Learn how Google, AWS, and Microsoft are changing document processing-and what you need to know before adopting it.

Autonomous agents built on large language models can plan, act, and adapt without constant human input-but they still make mistakes, lack true self-improvement, and struggle with edge cases. Here’s what they can do today, and where they fall short.

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Structured and unstructured pruning help shrink large language models for real-world use. Structured pruning keeps hardware compatibility; unstructured gives higher compression but needs special chips. Learn which one fits your needs.

Vocabulary size in large language models directly impacts accuracy, efficiency, and multilingual performance. Learn how tokenization choices affect real-world AI behavior and what size works best for your use case.