mirror of
https://github.com/dair-ai/Prompt-Engineering-Guide
synced 2024-11-19 21:25:35 +00:00
76 lines
2.4 KiB
Plaintext
76 lines
2.4 KiB
Plaintext
# Erzeugen von MySQL-Queries mit LLMs
|
|
|
|
import { Tabs, Tab } from 'nextra/components';
|
|
|
|
## Hintergrund
|
|
|
|
Dieser Prompt testet die Code-Generierungsfähigkeiten eines LLMs, indem er ihn auffordert, eine gültige MySQL-Query zu generieren, indem er Informationen über das Datenbankschema bereitstellt.
|
|
|
|
## Prompt
|
|
|
|
```markdown
|
|
"""
|
|
Tabelle departments, Spalten = [DepartmentId, DepartmentName]
|
|
Tabelle students, Spalten = [DepartmentId, StudentId, StudentName]
|
|
Erstelle eine MySQL-Query für alle Studierenden des Fachbereichs Informatik
|
|
"""
|
|
```
|
|
|
|
## Code / API
|
|
|
|
<Tabs items={['GPT-4 (OpenAI)', 'Mixtral MoE 8x7B Instruct (Fireworks)']}>
|
|
<Tab>
|
|
```python
|
|
from openai import OpenAI
|
|
client = OpenAI()
|
|
|
|
response = client.chat.completions.create(
|
|
model="gpt-4",
|
|
messages=[
|
|
{
|
|
"role": "user",
|
|
"content": "\"\"\"\nTable departments, columns = [DepartmentId, DepartmentName]\nTable students, columns = [DepartmentId, StudentId, StudentName]\nCreate a MySQL query for all students in the Computer Science Department\n\"\"\""
|
|
}
|
|
],
|
|
temperature=1,
|
|
max_tokens=1000,
|
|
top_p=1,
|
|
frequency_penalty=0,
|
|
presence_penalty=0
|
|
)
|
|
```
|
|
</Tab>
|
|
|
|
<Tab>
|
|
```python
|
|
import fireworks.client
|
|
fireworks.client.api_key = "<FIREWORKS_API_KEY>"
|
|
completion = fireworks.client.ChatCompletion.create(
|
|
model="accounts/fireworks/models/mixtral-8x7b-instruct",
|
|
messages=[
|
|
{
|
|
"role": "user",
|
|
"content": "\"\"\"\nTable departments, columns = [DepartmentId, DepartmentName]\nTable students, columns = [DepartmentId, StudentId, StudentName]\nCreate a MySQL query for all students in the Computer Science Department\n\"\"\"",
|
|
}
|
|
],
|
|
stop=["<|im_start|>","<|im_end|>","<|endoftext|>"],
|
|
stream=True,
|
|
n=1,
|
|
top_p=1,
|
|
top_k=40,
|
|
presence_penalty=0,
|
|
frequency_penalty=0,
|
|
prompt_truncate_len=1024,
|
|
context_length_exceeded_behavior="truncate",
|
|
temperature=0.9,
|
|
max_tokens=4000
|
|
)
|
|
```
|
|
</Tab>
|
|
|
|
</Tabs>
|
|
|
|
## Referenz
|
|
|
|
- [Prompt Engineering Guide](https://www.promptingguide.ai/introduction/examples#code-generation) (16. März 2023)
|