Predicting anything in AI is risky, but some directions for fine-tuning are already clear. Here is what we expect over the next year — and what it could mean for you.
Three trends to watch
- Cheaper and faster. Costs keep falling, bringing fine-tuning within reach of more people and smaller organisations.
- Built in, not bolted on. Expect more of it to appear quietly inside apps you already use rather than as standalone products.
- More scrutiny. As adoption grows, so do questions about accuracy, safety, privacy and regulation.
What it means for you
Understanding the ideas behind fine-tuning makes it much easier to judge AI news and products on their merits, instead of taking bold claims at face value.
The practical advice stays the same: experiment on low-stakes tasks, keep a healthy dose of scepticism, and keep a person in charge of the decisions that matter.
Want to go deeper? Our in-depth guides explain how large language models work and what tokens are — the building blocks behind most of today’s AI.
