𝗛𝗼𝘄 𝘁𝗼 𝗖𝗵𝗼𝗼𝘀𝗲 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹 𝗨𝘀𝗶𝗻𝗴 𝗔𝘇𝘂𝗿𝗲 𝗔𝗜 𝗙𝗼𝘂𝗻𝗱𝗿𝘆
Автор: DataSense
Загружено: 2026-03-02
Просмотров: 28
Описание:
Most people pick AI models based on hype. That’s a mistake.
🎓 Enroll in the RAG Architect 2026 Course: https://topmate.io/datasense/1930469
In this video, we use Azure AI Foundry’s model comparison feature to properly evaluate different models based on:
• Quality
• Safety
• Cost
• Throughput (Latency)
We explore how to:
1. Compare models visually using cost vs latency graphs
2. Identify the “sweet spot” (low cost + low latency)
3. Evaluate models for coding tasks
4. Compare quality index vs pricing
5. Understand when groundedness matters (RAG use cases)
Remove bias and choose models based on actual data
We specifically demonstrate how to use the Compare Models option inside Azure AI Foundry to analyze rankings across multiple benchmarks and decide which model fits your use case.
Whether you’re building:
1. RAG systems
2. Coding agents
3. AI applications
4. Production workloads
This framework will help you make smarter model selection decisions.
Every use case is different.
The right model depends on what you optimize for.
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