Post-Training Open Source Reasoning Models in Microsoft Foundry: From Production Traces to a…
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Post-train open-source reasoning models in Microsoft Foundry to deploy lower-cost agents with improved performance
Action Steps
- Install Microsoft Foundry and required dependencies
- Configure SFT and RFT for post-training
- Load open-source reasoning models into Microsoft Foundry
- Post-train the models using SFT and RFT
- Deploy the resulting agents to production environments
- Test and evaluate the performance of the deployed agents
Who Needs to Know This
AI engineers and researchers can benefit from this technique to improve the efficiency of their models, while product managers can utilize the resulting agents to enhance their applications
Key Insight
💡 Post-training open-source reasoning models can lead to lower-cost and higher-performing agents
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🤖 Improve AI model efficiency with post-training in Microsoft Foundry! 💡
Key Takeaways
Post-train open-source reasoning models in Microsoft Foundry to deploy lower-cost agents with improved performance
Full Article
Learn to post-train open-source reasoning models in Microsoft Foundry using SFT and RFT, then deploy lower-cost agents that improve in… Continue reading on CodeX »
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