Learn to Implement Guardrails in Generative AI Applications

In this comprehensive tutorial video, I will guide you through the process of implementing guardrails in generative AI applications using GPT-3, a powerful language model, and RAIL (Reliable AI Markup Language).
First, I will introduce you to the concept of guardrails and why they are essential when deploying AI models in real-world applications. Guardrails provide a way to ensure responsible and safe usage of AI systems by setting boundaries and mitigating potential risks, such as inappropriate or offensive outputs.
Next, I will showcase a practical example by building a simple Streamlit app that leverages GPT-3 as a language translator. You will witness the capabilities of GPT-3 in action as it seamlessly translates text from one language to another.
However, to maintain control over the model's outputs, I will demonstrate how to utilize RAIL, a reliable AI markup language. Through RAIL, we can establish guardrails to specifically address the issue of profanity in the generated responses. You will learn how to effectively implement the RAIL syntax to filter and prevent inappropriate language from being generated.
Whether you are a developer, researcher, or AI enthusiast, this tutorial equips you with the necessary knowledge to safeguard your AI models and foster responsible AI practices.
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[@stanislavzamecnik3049]

This was a really nice tutorial. Thank you @AI Anytime and keep up the great work!

[@AIAnytime]

Thanks, will do!

[@AIResearcher-jg5gj]

Great explanation of Guardrails, appreciate the hard work! I was hoping to learn about the Guardrails and how do these definitions work. Explanation to the "Script" seemed rushed and superfluous, hope you address this in your future videos. Keep it up!

[@AIAnytime]

Glad you like them! Will explain with more clarity. Thanks

[@rushatpatil3200]

Great work dude! waiting for a video on Nemo Guardrail!

[@AIAnytime]

Working on it.... Few videos on Nemo soon

[@kevinehsani3358]

you need to make the video a lot shorter and to the point. A friendly recommendation.

[@AIAnytime]

Thanks Kevin! I will try to make shorter videos.

[@yp1603]

How can we use llms from huggingface ?

[@vaibhavgowda7229]

please give a requirements.txt with specific version of everything use , as the project does not seem to work anymore

[@mesaurabh]

Code not working , need help is there a way to reach out to you ? Any git repository for shown code

[@JagdishTripathi2008]

you are awesome!!! keep up the good work.

[@AIAnytime]

Thank you! Will do!

[@rakeshreddy2791]

bro deploy talk to pdf bot

[@VijayDChauhaan]

Can I use this to output different json response, I need to output 10-15 different types of json from my llm which I have already trained but it is not giving expected json structure

[@MrKB_SSJ2]

10:34

[@xflory26x]

which versions of the packages were you using? it doesn't seem to work now

[@vigneshls8590]

Incase your guardrails-ai is 0.2.x, then Downgrade guardrails-ai to 0.1.9 if you want his code to work.