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 […]
Reinforcement learning: A guide to AI’s interactive learning paradigm
Reinforcement learning (RL) has and is transforming the landscape of artificial intelligence by enabling systems to learn optimal behaviors through interaction with dynamic environments and from the results of tasks performed within them. This article explores the principles, methodologies, and applications of reinforcement learning, offering insights into its role in advancing AI capabilities. As a […]
What is LLMOps and how does it work?
The rise of large language models (LLMs) has revolutionized natural language processing, opening the door to powerful applications across industries—from conversational agents and code generation to enterprise search and document summarization. But building, deploying, and maintaining LLM-powered systems at scale isn’t straightforward. That’s where LLMOps comes in. LLMOps—short for large language model operations—encompasses the practices, […]
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 […]
Weave: Simple tools for applying Generative AI
Six years ago, the tools needed to realize the potential of deep learning didn’t exist. We started Weights & Biases to build them. Our tools have made it possible to track and collaborate on the colossal amount of experimental data needed to develop GPT-4 and other groundbreaking models. Today, GPT-4 has incredible potential in applications […]
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 […]