Evaluating autonomous AI agents for performance, oversight, and business value
On this page Understanding autonomous agent frameworks Core agent evaluation dimensions Progressive evaluation by agent autonomy level Component vs end-to-end agent evaluation Building test suites Common failure patterns of autonomous agents Production monitoring Autonomous agent evaluation tools ROI and risk assessment Implementation roadmap The future of autonomous agent evaluation AI agents are rapidly moving into […]
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 […]
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 and banking
On this page Executive summary The transfornative potential Understanding agents in banking Technical architecture Use cases Production readiness checklist Challenges and solutions Ethical and responsible deployments The future of agents in finance AI agents represent a paradigm shift in finance and banking, evolving beyond static predictive models to autonomous entities. These systems can perceive environments, […]
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
Download the PDF On this page Introduction The scaling laws Hardware Dataset collection Dataset pre-processing Pre-training steps Model evaluation Bias and toxicity Instruction tuning RLHF Conclusion References Appendix 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 […]