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@@ -77,6 +77,7 @@
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"metadata": {},
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"source": [
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"Next we call the Llama 2 model from replicate. In this example we will use the llama 2 13b chat model. You can find more Llama 2 models by searching for them on the [Replicate model explore page](https://replicate.com/explore?query=llama).\n",
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+ "\n",
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"You can add them here in the format: model_name/version"
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]
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},
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@@ -100,8 +101,10 @@
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"id": "6d421ae7",
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"metadata": {},
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"source": [
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- "Next you will need create the `nba_roster.db` file. To do this run:\n",
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- "- `python txt2csv.py` to convert the `nba.txt` file to `nba_roster.csv`. The `nba.txt` file was created by scraping the NBA roster info from the web.\n",
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+ "Next you will need create the `nba_roster.db` file. \n",
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+ "\n",
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+ "To do this run the following commands while in this folder:\n",
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+ "- `python txt2csv.py` This will convert the `nba.txt` file to `nba_roster.csv`. The `nba.txt` file was created by scraping the NBA roster info from the web.\n",
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"- Then run `python csv2db.py` to convert `nba_roster.csv` to `nba_roster.db`.\n",
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"\n",
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"Once you have your `nba_roster.db` ready, we set up the database to be queried by Llama 2 through Langchain's [SQL chains](https://python.langchain.com/docs/use_cases/qa_structured/sql)."
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@@ -352,9 +355,11 @@
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"id": "98b2c523",
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"metadata": {},
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"source": [
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+ "\n",
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"Since we did not pass any context along with the follow-up to the model it did not know who \"his\" is and just picked LeBron James.\n",
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+ "\n",
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"Let's try to fix the issue that the context (the previous question and answer) was not sent to the model along with the new question.\n",
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- "`SQLDatabaseChain.from_llm` has a parameter \"memory\" which can be set to a `ConversationBufferMemory` instance, which looks promising."
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+ "`SQLDatabaseChain.from_llm` has a parameter \"memory\" which can be set to a `ConversationBufferMemory` instance, which looks promising.\n"
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]
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},
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{
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