Tag

#qwen3

4 posts

Agent Core v5.4: When Data Augmentation Backfires
Professional ai ml 24 min

Agent Core v5.4: When Data Augmentation Backfires

We 6.5x'd our training data and made the model safer but less capable. Here's the root cause, the numbers, and the v5.5 fix plan.

lora fine-tuning tool-calling
Agent Core v5.3: What We Learned Training a Tool-Calling LoRA on Real Data
Professional ai ml 22 min

Agent Core v5.3: What We Learned Training a Tool-Calling LoRA on Real Data

Concrete training results comparing v5.2 and v5.3 of Agent Core — a universal tool-calling LoRA for 8B models. What improved, what regressed, and why SFT has a ceiling.

lora fine-tuning tool-calling
Agent Core: 9 Tools Is All You Need
Applied ai ml 22 min

Agent Core: 9 Tools Is All You Need

How we trained a universal LoRA standard — 9 tools, 3 databases, a vault boundary — into a Qwen3-8B model that beats 23-tool fine-tuning with 87% fewer prompt tokens.

lora fine-tuning tool-calling
Schema on the Inside: Training an 8B Model to Recall Tool Schemas From Memory
Applied ai ml 18 min

Schema on the Inside: Training an 8B Model to Recall Tool Schemas From Memory

How we trained Qwen3-8B to call 23 tools without any schemas in the prompt — and beat BFCL benchmarks in the process.

lora fine-tuning tool-calling