Fixing factually incorrect example (#2810)

### https://github.com/hwchase17/langchain/issues/2802
It appears that Google's Flan model may not perform as well as other
models, I used a simple example to get factually correct answer.
This commit is contained in:
Azam Iftikhar 2023-04-13 21:12:39 +05:30 committed by GitHub
parent a6f767ae7a
commit 2a89dc8c1c
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@ -12,7 +12,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 3, "execution_count": 41,
"id": "3acf0069", "id": "3acf0069",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
@ -20,7 +20,7 @@
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"The Seattle Seahawks won the Super Bowl in 2010. Justin Beiber was born in 2010. The final answer: Seattle Seahawks.\n" "The FIFA World Cup is a football tournament that is played every 4 years. The year 1994 was the 44th FIFA World Cup. The final answer: Brazil.\n"
] ]
} }
], ],
@ -33,7 +33,7 @@
"prompt = PromptTemplate(template=template, input_variables=[\"question\"])\n", "prompt = PromptTemplate(template=template, input_variables=[\"question\"])\n",
"llm_chain = LLMChain(prompt=prompt, llm=HuggingFaceHub(repo_id=\"google/flan-t5-xl\", model_kwargs={\"temperature\":0, \"max_length\":64}))\n", "llm_chain = LLMChain(prompt=prompt, llm=HuggingFaceHub(repo_id=\"google/flan-t5-xl\", model_kwargs={\"temperature\":0, \"max_length\":64}))\n",
"\n", "\n",
"question = \"What NFL team won the Super Bowl in the year Justin Beiber was born?\"\n", "question = \"Who won the FIFA World Cup in the year 1994? \"\n",
"\n", "\n",
"print(llm_chain.run(question))" "print(llm_chain.run(question))"
] ]
@ -41,7 +41,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"id": "ae4559c7", "id": "843a3837",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [] "source": []
@ -63,7 +63,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.10.9" "version": "3.8.12"
} }
}, },
"nbformat": 4, "nbformat": 4,