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1. Clone the Abilities of Powerful LLMs into Small Local Models Using Knowledge Distillation

   This article explores how to boost the performance of small language models by using supervision from larger ones through knowledge distillation. The article provides a step-by-step guide on how to distill knowledge from a teacher model (LLama 2–70B) to a student model (Tiny-LLama) using unlabeled in-domain data and targeted prompting.

   2024-04-06 Tags: nlp, llm, knowledge distillation, tiny-llama, llama 2, machine learning by klotz
2. Code Llama 70B: AI Revolution in the World of Coding

   2024-02-11 Tags: llm, llama 2, code, . completion, infilling by klotz
3. Fine-Tune Your Own Open-Source LLM Using the Latest Techniques

   Tune a base LLama2 LLM to output SQL code. with Parameter Efficient Fine-Tuning techniques to optimise the process.

   2023-12-17 Tags: llm, llama 2, fine tuning, sql by klotz
4. Train Llama 2 using custom datasets made using GPT-4 - Geeky Gadgets

   2023-08-28 Tags: llm, llama 2, train, datasets gpt-4, gpt-llm-trainer by klotz
5. Running Llama 2 on CPU Inference Locally for Document Q&A | by Kenneth Leung | Jul, 2023 | Towards Data Science

   2023-08-17 Tags: document, search, llm, chat, faiss, vector database, llama, llama 2 by klotz

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