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README.md
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---
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license:
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inference:
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parameters:
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num_beams: 3
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num_beam_groups: 3
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num_return_sequences: 1
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repetition_penalty: 10
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diversity_penalty: 3.01
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no_repeat_ngram_size: 2
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temperature: 0.8
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max_length: 128
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widget:
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- text: >-
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Data scientists need to be able to communicate their findings to others in a
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example_title: Data scientists
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Search engine optimization (SEO) is the practice of getting targeted traffic
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example_title: SEO
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By leveraging prior model training through transfer learning, fine-tuning
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example_title: Fine Tuning
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---
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**Further Development:**
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(Mention any ongoing development or areas for future improvement in Discussions.)
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---
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license: llama3
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inference:
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parameters:
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num_beams: 3
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num_beam_groups: 3
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num_return_sequences: 1
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repetition_penalty: 10
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diversity_penalty: 3.01
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no_repeat_ngram_size: 2
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temperature: 0.8
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max_length: 128
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widget:
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- text: >-
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Data scientists need to be able to communicate their findings to others in a
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clear and concise way.
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example_title: Data scientists
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- text: >-
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Search engine optimization (SEO) is the practice of getting targeted traffic
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to a website from a search engine's organic rankings.
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example_title: SEO
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- text: >-
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By leveraging prior model training through transfer learning, fine-tuning
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can reduce the amount of expensive computing power and labeled data needed
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to obtain large models tailored to niche use cases and business needs.
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example_title: Fine Tuning
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---
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**Further Development:**
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(Mention any ongoing development or areas for future improvement in Discussions.)
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