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https://github.com/rasbt/LLMs-from-scratch.git
synced 2026-04-10 12:33:42 +00:00
fixed spelling typos (#258)
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@@ -2050,7 +2050,7 @@
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" - human preference comparison to other LLMs, such as LMSYS chatbot arena ([https://arena.lmsys.org](https://arena.lmsys.org))\n",
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" - automated conversational benchmarks, where another LLM like GPT-4 is used to evaluate the responses, such as AlpacaEval ([https://tatsu-lab.github.io/alpaca_eval/](https://tatsu-lab.github.io/alpaca_eval/))\n",
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"\n",
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"- In the next section, we will use an approach similar to AlpaceEval and use another LLM to evaluate the responses of our model; however, we will use our own test set instead of using a publicly available benchmark dataset\n",
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"- In the next section, we will use an approach similar to AlpacaEval and use another LLM to evaluate the responses of our model; however, we will use our own test set instead of using a publicly available benchmark dataset\n",
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"- For this, we add the model response to the `test_data` dictionary and save it as a `\"instruction-data-with-response.json\"` file for record-keeping so that we can load and analyze it in separate Python sessions if needed"
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]
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},
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@@ -2702,7 +2702,7 @@
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"## Summary and takeaways\n",
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"\n",
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"- See the [./gpt_instruction_finetuning.py](./gpt_instruction_finetuning.py) script, a self-contained script for classification finetuning\n",
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"- [./ollama_evaluate.py](./ollama_evaluate.py) is a standalonw script based on section 7.8 that evaluates a JSON file containing \"output\" and \"response\" keys via Ollama and Llama 3\n",
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"- [./ollama_evaluate.py](./ollama_evaluate.py) is a standalone script based on section 7.8 that evaluates a JSON file containing \"output\" and \"response\" keys via Ollama and Llama 3\n",
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"- The [./load-finetuned-model.ipynb](./load-finetuned-model.ipynb) notebook illustrates how to load the finetuned model in a new session\n",
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"- You can find the exercise solutions in [./exercise-solutions.ipynb](./exercise-solutions.ipynb)"
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]
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@@ -2730,7 +2730,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.4"
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"version": "3.10.11"
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}
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},
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"nbformat": 4,
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