LLM observability: Your guide to monitoring AI in production
Large language models like GPT-4o and LLaMA are powering a new wave of AI applications, from chatbots and coding assistants to research tools. However, deploying these LLM-powered applications in production is far more challenging than traditional software or even typical machine learning systems.LLMs are massive and non-deterministic, often behaving as black boxes with unpredictable outputs. […]
AI agents in healthcare: Enhancing patient outcomes and streamlining operations
On this page What are Hyperparameters in Machine Learning? What is Hyperparameter Optimization in Machine Learning? How Do You Optimize Hyperparameters? Methods for Automated Hyperparameter Optimization Conclusion References AI agents are rapidly transforming the healthcare landscape, ushering in a new era of innovation and efficiency. These intelligent tools, capable of processing vast amounts of medical […]
Generative AI in banking and finance
Generative AI is revolutionizing the financial services industries by automating complex tasks, enhancing customer interactions, and bolstering security. In banking, generative AI models can generate predictive insights, assist in credit assessments, and streamline processes, introducing new levels of efficiency and personalization. As financial institutions embrace this technology, generative AI promises to reshape the way they […]
AI agents in finance: From risk assessment to automated advisory
On this page What is an agent? Understanding AI agents in finance The role of AI agents in financial services Challenges in leveraging AI for financial institutions Enhancing customer interactions with AI agents Specific use-cases for AI agents in finance Conclusion Artificial intelligence is transforming every corner of the financial landscape. The emergence of AI […]
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
On this page What are AI agents? Risks of AI Agents How do AI agents work? The future of AI agents Conclusion 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 […]
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 […]
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 […]