From the uDemy course on LLM engineering.
https://www.udemy.com/course/llm-engineering-master-ai-and-large-language-models
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104 lines
2.3 KiB
104 lines
2.3 KiB
{ |
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"cells": [ |
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{ |
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"cell_type": "markdown", |
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"id": "fe12c203-e6a6-452c-a655-afb8a03a4ff5", |
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"metadata": {}, |
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"source": [ |
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"# End of week 1 exercise\n", |
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"\n", |
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"To demonstrate your familiarity with OpenAI API, and also Ollama, build a tool that takes a technical question, \n", |
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"and responds with an explanation. This is a tool that you will be able to use yourself during the course!" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "c1070317-3ed9-4659-abe3-828943230e03", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# imports" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "4a456906-915a-4bfd-bb9d-57e505c5093f", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# constants\n", |
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"\n", |
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"MODEL_GPT = 'gpt-4o-mini'\n", |
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"MODEL_LLAMA = 'llama3.2'" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "a8d7923c-5f28-4c30-8556-342d7c8497c1", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# set up environment" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "3f0d0137-52b0-47a8-81a8-11a90a010798", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# here is the question; type over this to ask something new\n", |
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"\n", |
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"question = \"\"\"\n", |
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"Please explain what this code does and why:\n", |
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"yield from {book.get(\"author\") for book in books if book.get(\"author\")}\n", |
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"\"\"\"" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "60ce7000-a4a5-4cce-a261-e75ef45063b4", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Get gpt-4o-mini to answer, with streaming" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "8f7c8ea8-4082-4ad0-8751-3301adcf6538", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Get Llama 3.2 to answer" |
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] |
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} |
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], |
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"metadata": { |
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"kernelspec": { |
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"display_name": "Python 3 (ipykernel)", |
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"language": "python", |
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"name": "python3" |
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}, |
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"language_info": { |
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"codemirror_mode": { |
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"name": "ipython", |
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"version": 3 |
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}, |
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"file_extension": ".py", |
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"mimetype": "text/x-python", |
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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": "3.11.10" |
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} |
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}, |
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"nbformat": 4, |
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"nbformat_minor": 5 |
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}
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