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Fix tutorial link
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@ -144,7 +144,7 @@ There are two design decisions that have made DPR particularly performant.
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* Training with ‘In-batch negatives’ (gold labels are treated as negative examples for other samples in same batch) is highly efficient
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* Training with ‘In-batch negatives’ (gold labels are treated as negative examples for other samples in same batch) is highly efficient
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In Haystack, you can simply download the pretrained encoders needed to start using DPR.
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In Haystack, you can simply download the pretrained encoders needed to start using DPR.
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If you’d like to learn how to set up a DPR based system, have a look at the [tutorial](docs/latest/tutorial6md)!
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If you’d like to learn how to set up a DPR based system, have a look at the [tutorial](/docs/latest/tutorial6md)!
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### Initialisation
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### Initialisation
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@ -172,7 +172,7 @@ finder = Finder(reader, retriever)
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<div class="recommendation">
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<div class="recommendation">
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**Training DPR:** Haystack supports training of your own DPR model! Check out the [tutorial](docs/latest/tutorial9md) to see how this is done!
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**Training DPR:** Haystack supports training of your own DPR model! Check out the [tutorial](/docs/latest/tutorial9md) to see how this is done!
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</div>
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</div>
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