RAG vs. Fine-Tuning: Choosing the Right Strategy for Your Data
Should you retrain the model or give it a textbook? We break down when to use RAG vs. Fine-Tuning (or both) for enterprise AI.
Knowledge Hub
Industry insights, technical deep dives, and expert perspectives on Data, Cloud, and AI.
Stop Prompt Engineering, Start Prompt Optimisation
Hand-crafting prompts like spells is so 2023. We explore DSPy and the shift towards programmatic prompt optimisation.
Preparing Your Enterprise Data for LLM Training
Garbage in, garbage out. The success of your custom LLM depends entirely on the quality of your training dataset. Here is the blueprint.
When Postgres is Enough: You Might Not Need a Data Warehouse
Big Data is sexy, but Small Data is reality. We argue that for many startups, a well-tuned Postgres replica is better than a complex Snowflake setup.
Airflow vs Prefect: Choosing the Right Orchestrator for 2025
The battle of the Python orchestrators. We compare the industry standard (Airflow) against the modern challenger (Prefect).
Optimising Costs During Your Lift-and-Shift to GCP
Cloud shock is real. Don't let your AWS or GCP bill surprise you. Implementing FinOps early in your migration journey is crucial for ROI.
