Fleet

Fleet

Your all-in-one IT Solution

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All-in-one solution for IT leasing and device management. We procure, secure, assist and recycle IT equipment. Our first product is the Fleet Cockpit. 🚚 Track devices ⎮ 👥 Organize teams ⎮ ⌛️ Save time ⎮ 💻 Provide support ⎮🛡️Secure

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The differences between prompt context, RAG, and fine-tuning and why we chose prompting

When integrating internal knowledge into AI applications, three main approaches stand out:

1. Prompt Context  Load all relevant information into the context window and leverage prompt caching.
2. Retrieval-Augmented Generation (RAG)  Use text embeddings to fetch only the most relevant information for each query.
3. Fine-Tuning  Train a foundation model to better align with specific needs.

Each approach has its own strengths and trade-offs:

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