docs/tutorials/llm_chain/

[giscus[bot]]

docs/tutorials/llm_chain/

In this quickstart we'll show you how to build a simple LLM application with LangChain. This application will translate text from English into another language. This is a relatively simple LLM application - it's just a single LLM call plus some prompting. Still, this is a great way to get started with LangChain - a lot of features can be built with just some prompting and an LLM call!

https://python.langchain.com/docs/tutorials/llm_chain/

[whao]

Every clear and straight forward tutorial! Thanks for your brilliant work!

[gzozulin]

Great tutorial!

[deepika-3]

Hi
very detailed explanation. Thank you

[SosthenesMS]

Congratulations, simple, objective and functional tutorial! Thank you

[charileyou823]

cool man

[iownthegame]

awesome!

[iownthegame]

at some point I got the output as Sei addestrato su dati fino a ottobre 2023. instead of Ciao :think

[Bayzon88]

i had the same issue, by any chance were you using gpt-4-mini? i changed my model to gpt-4 and started working properly.

[masamallow]

I got the same message with gpt-4o-mini.

Here is the issue that someone have raised on the OpenAI community site.
Language Translation Is Broken - API / Bugs - OpenAI Developer Forum

When using gpt-4o-mini, I suspect that a prompt for a too simple translation is recognized as an invalid prompt and this is happening.

[shark22k]

cool

[ksuchoi216]

awesome!!!

[SuperMissKuang]

short and sweet!

[parjun585]

Easy to understand, short and crisp

[liaoxianfu]

In version 0.3, model.invoke(prompt) returns a str, which does not have a content attribute.

[Bhargav2525]

I have configured aws in my system. How to configure aws credentials in jupyter notebook

[Bhargav2525]

got it

[nizomjon9909]

Hey , could you please your codes as I am keep getting errors

[Bhargav2525]

AWS_ACCESS_KEY_ID=
AWS_SECRET_ACCESS_KEY=
AWS_SESSION_TOKEN=
give these values in .env file

load env to your notebook file
from dotenv import load_dotenv
load_dotenv()