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CHANGELOG.md

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## [0.1.4] - 2025-02-27
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### Added
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- EG 07.23 — example usage of train_model_dpo_simple (#339)
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- train_model_dpo_simple (#338)
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- evaluate_dpo_loss_loader (#337)
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- EG 07.22 (#335)
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- compute_dpo_loss_loader (#334)
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- EG 07.21 - example usage of compute_dpo_loss_batch (#333)
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- dpo_loss_batch (#332)
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- compute_logprobs (#331)
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- compute_dpo_loss (#326)
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- preference data loader (#319)
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- [Fix] rejected/chosen masking & update EG 07.19 (#318)
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- EG 07.19 Example usage of PreferenceDataCollator (#314)
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- PreferenceDatasetCollator (#309)
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- PreferenceDataset (#308)
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- EncodedPreferenceExample and InstructionExample trait (#303)
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- generate_preference_dataset + EG 07.18 (#299)
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- Bonus DPO - Use Ollama to generate chosen/rejection response for an instruction entry + EG 07.17 (#294)
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### Changed
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Exercise 7.4 + use of GPT trait in listings::ch05 instead of GPTModel (#289)
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## [0.1.3] - 2025-01-23
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Cargo.lock

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Cargo.toml

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[package]
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name = "llms-from-scratch-rs"
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description = "Rust (candle) code for Build a LLM From Scratch by Sebastian Raschka"
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version = "0.1.3"
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version = "0.1.4"
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edition = "2021"
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repository = "https://github.com/nerdai/llms-from-scratch-rs"
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authors = ["Val Andrei Fajardo <[email protected]>"]

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