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How can we use open LLMs to create data for training sentence similarity models? 
How can we use open LLMs to create data for training sentence similarity models? 
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One of the most exciting use cases for LLMs is generating synthetic datasets that can be used to train non-LLM models. In the past, gathering enough data was one of the most significant barriers to training task-specific models. LLMs can potentially help in this area. 
One of the most exciting use cases for LLMs is generating synthetic datasets that can be used to train non-LLM models. In the past, gathering enough data was one of the most significant barriers to training task-specific models. LLMs can potentially help in this area. 
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I've just written a new blog post on using 
I've just written a new blog post on using 
resource
https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct
model
meta-llama/Meta-Llama-3-70B-Instruct
https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct
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 to generate synthetic similarity data based on the approach from 
 to generate synthetic similarity data based on the approach from 
resource
https://huggingface.co/papers/2305.12517
paper
2305.12517
https://huggingface.co/papers/2305.12517
Retrieving Texts based on Abstract Descriptions (2305.12517)
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. 
. 
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https://huggingface.co/blog/davanstrien/synthetic-similarity-datasets
https://huggingface.co/blog/davanstrien/synthetic-similarity-datasets
How can we use open LLMs to create data for training sentence similarity models? 

One of the most exciting use cases for LLMs is generating synthetic datasets that can be used to train non-LLM models. In the past, gathering enough data was one of the most significant barriers to training task-specific models. LLMs can potentially help in this area. 

I've just written a new blog post on using https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct to generate synthetic similarity data based on the approach from https://huggingface.co/papers/2305.12517. 
 
https://huggingface.co/blog/davanstrien/synthetic-similarity-datasets
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