Fine-Tuning vs RAG vs Long Context: When to Use What
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everyone asks whether to fine tune or use rag. wrote up a decision framework based on actual benchmarks
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genuine question for anyone who's tried this - does this still work with the latest version or has the api changed? ive been going back and forth and cant decide
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hmm i see what you mean but synthetic data for training is the next big paradigm shift
just tried this and yeah it works. arxiv summaries are the only way i stay current anymore
genuinely curious about this. the pace of papers is genuinely impossible to keep up with