NEW COURSE! We’re cooking hard on Hugging Face courses, and it’s not just agents. The NLP course is getting the same treatment with a new chapter on Supervised Fine-Tuning! 
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NEW COURSE! We’re cooking hard on Hugging Face courses, and it’s not just agents. The NLP course is getting the same treatment with a new chapter on Supervised Fine-Tuning! 
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👉 Follow to get more updates 
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👉 Follow to get more updates 
https://huggingface.co/nlp-course
nlp-course
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https://huggingface.co/nlp-course
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The new SFT chapter will guide you through these topics:
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The new SFT chapter will guide you through these topics:
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1️⃣ Chat Templates: Master the art of structuring AI conversations for consistent and helpful responses.
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1️⃣ Chat Templates: Master the art of structuring AI conversations for consistent and helpful responses.
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2️⃣ Supervised Fine-Tuning (SFT): Learn the core techniques to adapt pre-trained models to your specific outputs.
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2️⃣ Supervised Fine-Tuning (SFT): Learn the core techniques to adapt pre-trained models to your specific outputs.
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3️⃣ Low Rank Adaptation (LoRA): Discover efficient fine-tuning methods that save memory and resources.
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3️⃣ Low Rank Adaptation (LoRA): Discover efficient fine-tuning methods that save memory and resources.
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4️⃣ Evaluation: Measure your model's performance and ensure top-notch results.
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4️⃣ Evaluation: Measure your model's performance and ensure top-notch results.
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This is the first update in a series, so follow along if you’re upskilling in AI.
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This is the first update in a series, so follow along if you’re upskilling in AI.
NEW COURSE! We’re cooking hard on Hugging Face courses, and it’s not just agents. The NLP course is getting the same treatment with a new chapter on Supervised Fine-Tuning! 

👉 Follow to get more updates https://huggingface.co/nlp-course

The new SFT chapter will guide you through these topics:

1️⃣ Chat Templates: Master the art of structuring AI conversations for consistent and helpful responses.

2️⃣ Supervised Fine-Tuning (SFT): Learn the core techniques to adapt pre-trained models to your specific outputs.

3️⃣ Low Rank Adaptation (LoRA): Discover efficient fine-tuning methods that save memory and resources.

4️⃣ Evaluation: Measure your model's performance and ensure top-notch results.

This is the first update in a series, so follow along if you’re upskilling in AI.
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