The Rise of Small Language Models

For a long time, the race was for parameters. 7B, 70B, 400B. Bigger was always better.

But for Agents, latency and cost matter just as much as intelligence.

The Problem with Giants

Using a 400B parameter model to extract a date from a string is like using a sledgehammer to crack a nut. It's slow, expensive, and overkill.

The Power of SLMs

At Bothive, we use a mixture of experts.

• Orchestrator: GPT-4 or Claude 3.5 (High intelligence, high cost).
• Specialist: Fine-tuned Llama-3-8B (High speed, low cost).

By routing simple tasks to SLMs, we've reduced the average cost of a swarm run by 70% and improved latency by 40%.

Expect to see more SLMs in our marketplace soon.