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Research#llm📝 BlogAnalyzed: Dec 29, 2025 01:43

Implementing GPT-2 from Scratch: Part 4

Published:Dec 28, 2025 06:23
1 min read
Qiita NLP

Analysis

This article from Qiita NLP focuses on implementing GPT-2, a language model developed by OpenAI in 2019. It builds upon a previous part that covered English-Japanese translation using Transformers. The article likely highlights the key differences between the Transformer architecture and GPT-2's implementation, providing a practical guide for readers interested in understanding and replicating the model. The focus on implementation suggests a hands-on approach, suitable for those looking to delve into the technical details of GPT-2.

Key Takeaways

Reference

“GPT-2 is a language model announced by OpenAI in 2019.”

PermalinkQiita NLP
Research#llm📝 BlogAnalyzed: Dec 29, 2025 09:17

Fine-tune Llama 2 with DPO

Published:Aug 8, 2023 00:00
1 min read
Hugging Face

Analysis

This article from Hugging Face likely discusses the process of fine-tuning the Llama 2 large language model using Direct Preference Optimization (DPO). DPO is a technique used to align language models with human preferences, often resulting in improved performance on tasks like instruction following and helpfulness. The article probably provides a guide or tutorial on how to implement DPO with Llama 2, potentially covering aspects like dataset preparation, model training, and evaluation. The focus would be on practical application and the benefits of using DPO for model refinement.
Reference

“The article likely details the steps involved in using DPO to improve Llama 2's performance.”

PermalinkHugging Face