Deepak K

RAG vs Fine-Tuning: Which One Should You Use in AI?

RAG, Blog /
RAG vs fine-tuning comparison diagram for AI systems

RAG vs Fine-Tuning: Which One Should You Use? RAG and fine-tuning solve different AI problems. RAG improves answers by retrieving relevant external information before generation, while fine-tuning changes the model’s behavior through additional training. In simple terms, choose RAG when your system needs access to changing or private knowledge, and choose fine-tuning when you need […]

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Open Source LLMs vs Closed Models: Key Differences Explained

Blog, Large Language Models /
Open source LLMs vs closed models: open-weight model versus hosted closed API

Open Source LLMs vs Closed Models Open source LLMs and closed models solve different problems. In general, open-weight models give you more control, customization, and deployment flexibility, while closed models usually offer easier access, strong managed infrastructure, and faster path-to-production through hosted APIs. In 2026, that trade-off matters more than ever because both camps are

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