AI agents in finance: From risk assessment to automated advisory
Artificial intelligence is transforming every corner of the financial landscape. The emergence of AI agents – software systems that can autonomously process data, analyze trends, and take actions – has opened new frontiers in everything from personalized banking to sophisticated risk management. While automation in finance is nothing new, the latest generation of AI agents […]
What are AI agents? Key concepts, benefits, and risks
AI agents are reshaping how humans solve complex problems, enabling intelligent decision-making and dynamic task execution beyond traditional AI systems like chatbots. Unlike chatbots, which follow scripted workflows, AI agents operate autonomously, learning from data and adapting their strategies in real time. This shift from static interactions to dynamic, context-aware systems allows them to understand […]
Responsible AI: A guide to guardrails and scorers
The rapid adoption of generative AI and large language models has transformed industries, enabling powerful applications in domains like customer service, content creation, and research. However, this innovation introduces risks related to misinformation, bias, and privacy breaches. To ensure AI operates within ethical and functional boundaries, organizations must implement AI guardrails – structured safeguards that […]
Generative AI in retail
Generative AI is reshaping the retail industry, ushering in a new era of personalization, operational efficiency, and innovation. As this technology advances, retailers are leveraging it to anticipate customer needs, enhance service quality, and streamline their operations—all of which are crucial in today’s competitive landscape. By delivering tailored experiences and automating complex processes, generative AI […]
Current best practices for training LLMs from scratch
Introduction Although we’re only a few years removed from the transformer breakthrough, LLMs have already grown massively in performance, cost, and promise. At W&B, we’ve been fortunate to see more teams try to build LLMs than anyone else. But many of the critical details and key decision points are often passed down by word of […]
What is Retrieval Augmented Generation (RAG)?
Retrieval Augmented Generation (RAG) is a powerful technique in AI that combines large language models with real-time access to external data sources, allowing for more accurate, relevant, and timely responses. By dynamically retrieving authoritative information, RAG enables generative models to overcome the limitations of static, pre-trained knowledge, making them more effective for applications where precision […]
RAG techniques: From naive to advanced
Imagine you’re demoing your company’s new AI chatbot to a potential client. You ask it about their latest product, the one they’ve been working on for months, and what does it return? Information from two years ago about a product they don’t even sell anymore. Frustrating, right? This is a good example of what retrieval […]
AI and regulatory compliance in finance
In the complex world of finance, where numerous transactions and exchanges occur every second, there is a crucial framework in place to ensure everything operates smoothly: regulatory compliance. Regulatory compliance is about following the established laws and guidelines to keep the financial market safe and fair for everyone. This ensures that banks and other financial […]
The AI playbook for bank fraud detection
Fraud detection is a crucial component in safeguarding the integrity of the financial industry. By protecting assets and maintaining customer trust, effective fraud detection strategies are fundamental in preventing financial losses and ensuring the smooth operation of financial systems. This article provides a structured analysis of techniques for utilizing Artificial Intelligence (AI) for preventing fraud, […]
What is model risk management in finance?
In the fast-paced world of finance, the use of models has become incredibly important for making big decisions. These models help banks and other financial institutions figure out risks, value things like stocks or bonds, and predict future market trends. But as much as these models can help, they also bring a certain level of […]