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Housekeeping

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This commit is contained in:
Edward Donner
2025-09-20 16:25:21 -04:00
parent d72fccaaeb
commit c6292232e8
7 changed files with 43 additions and 73 deletions
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83
week2/community-contributions/week2_EXERCISE_llms_and_pirates.ipynb
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week2/day4.ipynb
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@@ -246,7 +246,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.11.11" "version": "3.11.13"
} }
}, },
"nbformat": 4, "nbformat": 4,

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week2/day5.ipynb
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@@ -748,7 +748,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.11.12" "version": "3.11.13"
} }
}, },
"nbformat": 4, "nbformat": 4,

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week2/week2 EXERCISE.ipynb
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@@ -43,7 +43,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.11.11" "version": "3.11.13"
} }
}, },
"nbformat": 4, "nbformat": 4,

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week5/day3.ipynb
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@@ -358,7 +358,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.11.12" "version": "3.11.13"
} }
}, },
"nbformat": 4, "nbformat": 4,

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week5/day4.ipynb
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@@ -168,13 +168,13 @@
"# Put the chunks of data into a Vector Store that associates a Vector Embedding with each chunk\n", "# Put the chunks of data into a Vector Store that associates a Vector Embedding with each chunk\n",
"# Chroma is a popular open source Vector Database based on SQLLite\n", "# Chroma is a popular open source Vector Database based on SQLLite\n",
"\n", "\n",
"embeddings = OpenAIEmbeddings()\n", "# embeddings = OpenAIEmbeddings()\n",
"\n", "\n",
"# If you would rather use the free Vector Embeddings from HuggingFace sentence-transformers\n", "# If you would rather use the free Vector Embeddings from HuggingFace sentence-transformers\n",
"# Then replace embeddings = OpenAIEmbeddings()\n", "# Then replace embeddings = OpenAIEmbeddings()\n",
"# with:\n", "# with:\n",
"# from langchain.embeddings import HuggingFaceEmbeddings\n", "from langchain.embeddings import HuggingFaceEmbeddings\n",
"# embeddings = HuggingFaceEmbeddings(model_name=\"sentence-transformers/all-MiniLM-L6-v2\")\n", "embeddings = HuggingFaceEmbeddings(model_name=\"sentence-transformers/all-MiniLM-L6-v2\")\n",
"\n", "\n",
"# Delete if already exists\n", "# Delete if already exists\n",
"\n", "\n",
@@ -329,6 +329,23 @@
"</table>" "</table>"
] ]
}, },
{
"cell_type": "markdown",
"id": "3dd0a478-bde4-41f8-8fe8-a35d3246e1b6",
"metadata": {},
"source": [
"## Alternative: to use a free open-source model instead of OpenAI in the next cell\n",
"\n",
"First run this in a cell: `!pip install langchain-ollama`\n",
"\n",
"Then replace `llm = ChatOpenAI(temperature=0.7, model_name=MODEL)` with:\n",
"\n",
"```python\n",
"from langchain_ollama import ChatOllama\n",
"llm = ChatOllama(temperature=0.7, model=\"llama3.2\")\n",
"```"
]
},
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,

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week5/day5.ipynb
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@@ -475,7 +475,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.11.12" "version": "3.11.13"
} }
}, },
"nbformat": 4, "nbformat": 4,