Tag: user-prompt

🧠 Interestingly, in the model’s response to “How much did I spend at Target?” it provides a single value, $188.16, but **importantly** in the `citations` array it lists the individual expenses that it

🧠 The model works well with data in [3rd normal form](https://en.wikipedia.org/wiki/Third_normal_form), but may struggle with too many joins. In experiments, it seems to do okay with at least three le

source:

sampledb=# SELECT * FROM users;
id | name | email
—-+——-+——————-
1 | Alpha | alpha@example.com
2 | Beta | beta@example.com
3 | Gamma | gamma@example.com
(3 rows)

[supervisord]
nodaemon=true

[program:sshd]
command=/usr/sbin/sshd -D

log.Println(“did something”)

from langchain_prompty import create_chat_prompt

prompt = create_chat_prompt(‘‘)