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ai-machine-learning
Retrieval-Augmented Generation: Making LLMs useful for enterprise data
Large language models hallucinate when they lack context. RAG grounds model outputs in your actual data. Here is how we built a production RAG pipeline.
By Daniel Osei
ai-machine-learning
Fine-tuning open-source LLMs for domain-specific tasks
Off-the-shelf language models are generalists. For specialised tasks, fine-tuning on your own data consistently outperforms prompt engineering alone.
By Daniel Osei
ai-machine-learning
How we built an AI-powered document processing pipeline in 8 weeks
Processing thousands of invoices, contracts, and reports manually was unsustainable. We built an automated pipeline using OCR, NLP, and custom classifiers.
By Daniel Osei
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