The Engineering Mindset — Experiences, Insights & Ideas
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How to Implement Retrieval-Augmented Fine-Tuning (RAFT) on AWS — A Practical Guide
Introduction In my previous post, I introduced Retrieval-Augmented Fine-Tuning (RAFT) — an approach that helps Large Language Models (LLMs) learn how to use external knowledge sources dynamically. In this post, I’ll show you how to build a prototype RAFT stack on AWS — using 100% managed services: ✅ Amazon S3 → Document storage✅ Amazon OpenSearch…
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Retrieval-Augmented Fine-Tuning (RAFT): A Modern Approach to Smarter LLMs
Introduction Large Language Models (LLMs) such as GPT, Claude, and LLaMA have transformed how we interact with information. However, they suffer from two key limitations: Enter Retrieval-Augmented Fine-Tuning (RAFT) — a hybrid approach that combines the best of fine-tuning and Retrieval-Augmented Generation (RAG). RAFT enables LLMs to learn how to intelligently use external knowledge during…
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The Beginning of Wasim.pro — Building, Breaking, and Becoming Better
Hello, World! 👋 Welcome to Wasim.pro — my personal space on the internet where I’ll share thoughts, lessons, and behind-the-scenes stories from my 20+ year journey in tech. From repairing PCs in the late ’90s to leading engineering teams and building SaaS ecosystems in the cloud, this blog is a reflection of the things I’ve…
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