Скачать или смотреть LLM Fine-Tuning with LoRA: Python to C# Deployment (The Dev Stack)

How do developers fine-tune a specialized Large Language Model (LLM) and integrate it into a production .NET application?

This video provides a practical, high-level overview of the complete developer stack. We cover the core theory behind *LoRA* (Parameter-Efficient Fine-Tuning), the use of *4-bit quantization* to make training possible on consumer hardware, and the robust architecture required to deploy a Python-trained model for C# consumption.

We look at the key steps:
1. *The LoRA Advantage:* Why we specialize, not retrain.
2. *The Python Stack:* The essential libraries for training.
3. *The C# Bridge:* Why a microservice architecture beats ONNX.

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#️⃣ *FULL ARTICLE & CODE*
For a deep dive into read article:
smaltsoft.com/blog/developers-guide-fine-tuning-llms

#️⃣ *Hashtags:*
#LLMFineTuning #LoRA #PEFT #LargeLanguageModels #Python #CSharp #DotNet #AIforDevelopers #MachineLearning