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doc: highlight text and tool name

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1. cannot: highlight to enhance the importance
2. Pinecone
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liuliu 2023-03-17 14:03:01 +08:00
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examples/vector_databases/pinecone/Gen_QA.ipynb
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@ -212,7 +212,7 @@
"The best training method to use for fine-tuning a pre-trained model with sentence transformers is the Masked Language Model (MLM) training. MLM training involves randomly masking some of the words in a sentence and then training the model to predict the masked words. This helps the model to learn the context of the sentence and better understand the relationships between words.\n", "The best training method to use for fine-tuning a pre-trained model with sentence transformers is the Masked Language Model (MLM) training. MLM training involves randomly masking some of the words in a sentence and then training the model to predict the masked words. This helps the model to learn the context of the sentence and better understand the relationships between words.\n",
"```\n", "```\n",
"\n", "\n",
"This answer seems pretty convincing right? Yet, it's wrong. MLM is typically used in the pretraining step of a transformer model but *cannot* be used to fine-tune a sentence-transformer, and has nothing to do with having _\"pairs of related sentences\"_.\n", "This answer seems pretty convincing right? Yet, it's wrong. MLM is typically used in the pretraining step of a transformer model but *\"cannot\"* be used to fine-tune a sentence-transformer, and has nothing to do with having _\"pairs of related sentences\"_.\n",
"\n", "\n",
"An alternative answer we receive (and the one we returned above) is about `supervised learning approach` being the most suitable. This is completely true, but it's not specific and doesn't answer the question.\n", "An alternative answer we receive (and the one we returned above) is about `supervised learning approach` being the most suitable. This is completely true, but it's not specific and doesn't answer the question.\n",
"\n", "\n",
@ -555,7 +555,7 @@
"id": "VMyJjt1cnwcH" "id": "VMyJjt1cnwcH"
}, },
"source": [ "source": [
"Now we need a place to store these embeddings and enable a efficient _vector search_ through them all. To do that we use Pinecone, we can get a [free API key](https://app.pinecone.io) and enter it below where we will initialize our connection to Pinecone and create a new index." "Now we need a place to store these embeddings and enable a efficient _vector search_ through them all. To do that we use **`Pinecone`**, we can get a [free API key](https://app.pinecone.io) and enter it below where we will initialize our connection to `Pinecone` and create a new index."
] ]
}, },
{ {