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Merge pull request #40 from groq/dan/cleanup-links
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fix: cookbook links
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hozen-groq authored Aug 26, 2024
2 parents 0ae83fc + 4dd83f9 commit 780d574
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"- **get_batting_stats**: Retrieves detailed player batting statistics for a specified MLB game.\n",
"- **get_pitching_stats**: Retrieves detailed player pitching statistics for a specified MLB game.\n",
"\n",
"For more information on tool use/function calling with Groq, check out this [Function Calling 101 cookbook post](https://github.com/groq/groq-api-cookbook/blob/main/function-calling-101-ecommerce/Function-Calling-101-Ecommerce.ipynb)."
"For more information on tool use/function calling with Groq, check out this [Function Calling 101 cookbook post](https://github.com/groq/groq-api-cookbook/blob/main/tutorials/function-calling-101-ecommerce/Function-Calling-101-Ecommerce.ipynb)."
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.3"
"version": "3.11.9"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.3"
"version": "3.11.9"
}
},
"nbformat": 4,
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"id": "396cabd1",
"metadata": {},
"source": [
"We'll send this to our LLM via Groq API. Note that this works just like a typical [Tool Use example in Groq](https://github.com/groq/groq-api-cookbook/blob/main/function-calling-101-ecommerce/Function-Calling-101-Ecommerce.ipynb), but instead of defining the tools ourselves we are using our existing tools in Toolhouse:"
"We'll send this to our LLM via Groq API. Note that this works just like a typical [Tool Use example in Groq](https://github.com/groq/groq-api-cookbook/blob/main/tutorials/function-calling-101-ecommerce/Function-Calling-101-Ecommerce.ipynb), but instead of defining the tools ourselves we are using our existing tools in Toolhouse:"
]
},
{
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4 changes: 2 additions & 2 deletions tutorials/whisper-podcast-rag/whisper-podcast-rag.ipynb
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"id": "96700867",
"metadata": {},
"source": [
"Finally, we'll define our embedding function and store our transcription chunks to a Pinecone index called `twist-transcripts`. For more info on embeddings and building RAG solutions, see this [cookbook post](https://github.com/groq/groq-api-cookbook/blob/main/presidential-speeches-rag/presidential-speeches-rag.ipynb)."
"Finally, we'll define our embedding function and store our transcription chunks to a Pinecone index called `twist-transcripts`. For more info on embeddings and building RAG solutions, see this [cookbook post](https://github.com/groq/groq-api-cookbook/blob/main/tutorials/presidential-speeches-rag/rag-langchain-presidential-speeches.ipynb)."
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.3"
"version": "3.11.9"
}
},
"nbformat": 4,
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