Unite.AI

OCTOBER 20, 2023

However, only around 20% have implemented comprehensive programs with frameworks, governance, and guardrails to oversee AI model development and proactively identify and mitigate risks. Given the fast pace of AI development, leaders should move forward now to implement frameworks and mature processes.

Responsible AI 278

Responsible AI Generative AI AI AI 278

Unite.AI

SEPTEMBER 13, 2023

Thankfully, there is a way to bypass generative AI’s explainability conundrum – it just requires a bit more control and focus. Generative AI tools make countless connections while traversing from input to output, but to the outside observer, how and why they make any given series of connections remains a mystery.

Explainability 273

Explainability Generative AI AI Tools Algorithm 273

ODSC - Open Data Science

MARCH 10, 2025

Perfect for developers and data scientists looking to push the boundaries of AI-powered assistants. Walk away with practical approaches to designing robust evaluation frameworks that ensure AI systems are measurable, reliable, and deployment-ready.

Data Scientist 52

Data Scientist Data Science LLM Machine Learning 52

IBM Journey to AI blog

OCTOBER 16, 2023

It’s essential for an enterprise to work with responsible, transparent and explainable AI, which can be challenging to come by in these early days of the technology. .” Are foundation models trustworthy? But how trustworthy is that training data?

Metadata 220

Metadata Explainability Automation Explainable AI 220

The MLOps Blog

FEBRUARY 27, 2025

They guide the LLM to generate text in a specific tone, style, or adhering to a logical reasoning pattern, etc. For example, an LLM trained on predominantly European data might overrepresent those perspectives, unintentionally narrowing the scope of information or viewpoints it offers. Lets see how to use them in a simple example.

LLM 64

LLM Large Language Models Explainability Machine Learning 64

Towards AI

APRIL 2, 2024

As we have discussed, there have been some signs of open-source AI (and AI startups) struggling to compete with the largest LLMs at closed-source AI companies. This is driven by the need to eventually monetize to fund the increasingly huge LLM training costs. This would be its 5th generation AI training cluster.

LLM 103

LLM OpenAI Explainable AI AI 103

AWS Machine Learning Blog

NOVEMBER 15, 2024

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

Responsible AI 103

Responsible AI Prompt Engineer Prompt Engineering AI 103