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
- What are the key differences between pre-training and fine-tuning a language model?
- How does the size of the pre-training dataset affect the model's ability to generalize to new tasks?
- Can you explain the concept of 'transfer learning' in the context of large language models?
- What are some common techniques used to adapt pre-trained models to new tasks?
- How does the choice of pre-training objective (e.g. masked language modeling, next sentence prediction) impact the model's ability to generalize?
- What role does the quality of the pre-training data play in determining the model's generalizability?
- Can you discuss the trade-offs between pre-training on a large dataset and fine-tuning on a smaller dataset?
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