Summary

FAQs

• What kind of models can you fine-tune?

  I can fine-tune various transformer-based models, including GPT-3, GPT-4, Llama, DistilBERT, and other Hugging Face models, based on your specific requirements.

• What datasets do you need from me?

  You can provide a structured dataset (e.g., CSV, JSON, or text files). If you don’t have one, I can assist in data collection and preprocessing.

• What if I don’t have high-end hardware for training?

  I can optimize training using techniques like quantization, distillation, and efficient training methods that work on limited computational resources.

• Can you help deploy the fine-tuned model?

  Yes, I can guide you through deploying the model using APIs, cloud platforms (AWS, GCP), or local inference setups.

• How long does the fine-tuning process take?

  The time depends on the model size, dataset complexity, and required optimizations. A standard fine-tuning job typically takes 5-10 days.