AIQB
TutorialsOrdinary

Think smaller: why specialist SLMs beat frontier models in production

Source: DEV Community·

Summary

Most agent tasks do not need a frontier model. The subtasks inside a production agent are largely...
CategoryAI Tutorials & Practice
TierOrdinary
Published
Indexed by AIQB
SourceDEV Community
AIQB record IDintel-07e9a3927d175479ea3acd29
Read original source ↗More Tutorials

Related stories

Matched by category, entity tags and source

TutorialsOrdinary
Your image-to-video pipeline needs an intermediate representation
Adapted for DEV Community from an article originally published on the Oimi blog. The engineering...
Source: DEV Community
TutorialsOrdinary
Read-only exploration: letting a coding agent look without letting it touch
Read-only exploration: letting a coding agent look without letting it touch I build...
Source: DEV Community
TutorialsOrdinary
My most important test had never failed — because what it proved was 1 = 1
Read on: measuring the noise floor before trusting a delta · 繁體中文版 Do this first — it is...
Source: DEV Community
TutorialsOrdinary
An embedding is a lookup table, and everything else is how you fill it
Originally published at cchinchilla.dev. Part 2 of From code to weights, a 12-part series on ML...
Source: DEV Community
TutorialsOrdinary
Claude Code now supports AGENTS.md Natively - Here's how it actually works
Quick answer: As of 4 days ago, September 18, Claude Code natively reads AGENTS.md, the open,...
Source: DEV Community · Claude
TutorialsOrdinary
TypeSafe’s JEV Model: Is It Really 193x Faster and 444x Cheaper?
TypeSafe launched Jev on September 15 and it reached OpenRouter three days later. Since then nearly...
Source: DEV Community
TutorialsOrdinary
I Built an AI Agent That Does X — Here's What Actually Broke
Most posts about AI agents show you the demo. The demo always works. Nobody writes about the part...
Source: DEV Community
TutorialsOrdinary
I Cut 2,490 Agent Test Runs to 206 and Kept the Same Coverage
The full matrix was 83 agents × 30 scenarios = 2,490 runs. Each one a real LLM call, 30–80 seconds....
Source: DEV Community
TutorialsOrdinary
Memory, not speed, is the hard part of running an LLM on a phone
I ship an Android app (Onira) that generates a personalized hypnosis/relaxation script on-device with...
Source: DEV Community
TutorialsOrdinary
SIMURG: A Guard That Catches LLM Hallucinations Mid-Stream and Heals Them
Your LLM looks fine in the demo. Then it ships. Somewhere between "it works on my machine" and "a...
Source: DEV Community