Insights tagged with "Ai"
4 insights found
How Guardrails and Evals Improve AI Agents
You've deployed an AI agent into production. It's handling customer inquiries, automating workflows, and delivering real business value. But what happens when it makes a mistake? What if it leaks sensitive customer data in a response or gets stuck in an infinite loop?
Four Practical Approaches to Domain-Specific SLMs
Building a domain-specific language model doesn't require unlimited resources or deep ML expertise. Whether you're looking to operationalize data within your industry, reduce inference costs, or achieve better performance in your specific industry, there are approaches can fit smaller budgets and timelines.
Preparing Data for Small Language Model Training
You've chosen your small language model training approach: distillation, RAG + LoRA, or something in between. Now comes the critical phase: preparing your data. This is where the quality of your training directly determines the quality of your model's performance.
