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The 4B Model That Embarrasses Claude Sonnet: Why Specialization Kills the ‘Bigger is Better’ Myth

DeepFabric’s fine-tuned Qwen3-4B achieves 93.5% tool calling accuracy, crushing Claude Sonnet 4.5 (80.5%) and Gemini Pro 2.5 (47%). Here’s how synthetic data, real tool execution, and domain focus rewrite the rules for cost-effective AI agents.

#agents#deepfabric#Fine-tuning...

agents

Jan-v2-VL’s 10x Breakthrough: Why Thinking Models Outlast Instruct Models on Long-Horizon Tasks

An 8B vision-language model executes 49 steps without failure while competitors fail at 5. The secret? Reasoning models, not instruct tuning, hold the key to long-horizon agentic capabilities.

#agents#benchmarks#Jan-v2-VL...