Showing posts from Llm category
Vector Databases Explained: Choosing the Right One for Your AI Application
Vector databases are now a core piece of production AI infrastructure. Whether you're building a RAG...
Fine-Tuning Llama 3 with QLoRA: A Practical Guide
QLoRA (Quantized Low-Rank Adaptation) changed the economics of LLM fine-tuning. Before QLoRA, fine-t...
The Complete Guide to LLM Evaluation in Production
Evaluating LLMs is one of the least glamorous parts of AI engineering — and one of the most importan...
Prompt Engineering at Scale: Moving Beyond Hacks
Prompt engineering has a reputation problem. For many developers, it conjures images of trial-and-er...
RAG vs Fine-Tuning: How to Choose the Right Approach for Your LLM
One of the most common questions we get from engineering teams is: "Should we fine-tune our model or...
Reducing LLM Inference Costs by 60%: A Case Study
When a B2B SaaS company came to us, their AI features were a success story — too successful. Their m...