Welcome to the FAQ page for Infermatic.ai! Here, you can find answers to your questions about large language models and the AI industry. Whether you’re curious about how to use our tools or want to learn more about AI, this page is a great place to start.
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Related Questions
- How do large language models benefit from pre-training on a general corpus of text before being fine-tuned for a specific task?
- What are the key differences between pre-training and fine-tuning in the context of large language models?
- Can you explain the concept of 'domain adaptation' in the context of fine-tuning large language models and how it relates to pre-training?
- How does the choice of pre-training objectives, such as masked language modeling or next sentence prediction, impact the performance of a fine-tuned large language model?
- What are some common challenges associated with fine-tuning large language models and how can they be addressed?
- Can you describe the process of transfer learning in large language models, including how pre-training and fine-tuning fit into this process?
- How do large language models adapt to different languages and dialects through pre-training and fine-tuning?
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