guardrails 
Analytics Vidhya
MAY 3, 2024
To protect against these […] The post Building Responsible AI with Guardrails AI appeared first on Analytics Vidhya. However, people are increasingly using ChatGPT and other LLMs, which may provide prompts with personal identifiable information or toxic language.
Hacker News
FEBRUARY 1, 2024
Army Corps of Engineers point to concerns that the nation’s roadside guardrails are no match for new heavy electric vehicles. Preliminary tests by a University of Nebraska road safety research facility and the U.S.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
ODSC - Open Data Science
DECEMBER 20, 2023
If you’re serious about designing, building, or implementing AI, the concept of guardrails is probably something you’ve heard of. While the concept of guardrails to mitigate AI risks isn’t new, the recent wave of generative AI applications has made these discussions relevant for everyone — not just data engineers and academics.
DECEMBER 12, 2023
A new report from a government watchdog Tuesday found that while artificial intelligence can be used to make the federal government more efficient and streamlined, the technology needs guardrails to prevent misuse.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.
DECEMBER 5, 2023
But it's also a technology we can build guardrails against, … Generative AI is hugely disruptive and undermines human creative industries in many ways.
ODSC - Open Data Science
FEBRUARY 22, 2024
Guardrails — A New Python Package for Correcting Outputs of LLMs A new open-source Python package looks to push for accuracy and reliability in the outputs of large language models. Named Guardrails, this new package hopes to assist LLM developers in their questions to eliminate bias , bugs, and usability issues in their model’s outputs.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
Expert insights. Personalized for you.
287 
Let's personalize your content