This blog explores how bias manifests in generative AI systems, why it matters at both technical and societal levels, and what methods can be used to detect, measure, and mitigate these biases. It also examines what organizations can do to mitigate bias in Gen AI and build more ethical and responsible AI models.
This blog explores the evolving landscape of fleet operations in defense autonomy, focusing on how modern militaries are bridging the gap between rapid AI-driven decision-making and human oversight.
In this article, we explore how GenAI is transforming administrative operations in defense tech, We’ll also examine the key challenges it addresses, the critical role of secure AI components like RAG and red teaming, and how organizations provide the data infrastructure that powers this new era of defense innovation.
This blog breaks down how generative AI models differ in capability, how they scale in enterprise environments, and what trade-offs organizations must consider. We’ll also examine how modern approaches such as Retrieval-Augmented Generation (RAG), fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) influence the overall performance and cost.
In this blog, we will discuss scenario diversity in simulation for autonomous driving, why it’s important, what the associated challenges are, and how to solve them.
This blog takes a deep dive into three Gen AI fine-tuning techniques: LoRA, QLoRA, and Adapters, comparing their architectures, implementation complexity, hardware efficiency, and real-world applicability.
This blog explores what Reinforcement Learning with Human Feedback (RLHF) is, why it’s important, associated challenges and limitations, and how you can overcome them.
In this blog, we explore how to reduce hallucinations in defense LLMs, discuss associated challenges, and mitigation strategies.
In this blog, we’ll walk through why data annotation often goes wrong and share five practical strategies you can use to fix it and prevent future issues.
This blog offers a practical, evidence-backed approach to mitigating bias in GenAI within defense and national security. We will explore how to detect, address, and monitor bias throughout the AI lifecycle.
This blog explores the key techniques in HD mapping for autonomy and learn how HITL enhances the scalability and accuracy of HD maps.
In this blog, we will delve into the methodologies and frameworks that practitioners are using to red team generative AI systems. We’ll examine the types of attacks models are susceptible to, the tools and techniques available for conducting these assessments, and integrating red teaming into your AI development lifecycle.
