Fine-Tuning
8 pieces on Fine-Tuning, including 1 step-by-step guide.
Guides
News & Analysis
Sentence Transformers v6.0 Adds ColBERT Training in 14.5 Hours on One GPU
Sentence Transformers v6.0 adds MultiVectorEncoder with full ColBERT-style training. A single RTX 3090 run beats every zero-shot retriever by 0.06 NDCG@10.
SigLIP LoRA Fine-Tune Cuts Under-Labeling from 9.4% to 3.4%
Alma Media's 23-class image classifier shows why under-labeling rate, not F1, is the right signal for deciding whether LoRA fine-tuning is worth the cost.
Qwen2.5-0.5B Fine-Tuned With DPO After Auditing HH-RLHF Length Bias
A reproducible pipeline audits Anthropic HH-RLHF for lexical shortcuts, then fine-tunes Qwen2.5-0.5B-Instruct with DPO, TRL, and LoRA in one notebook.
Amazon Nova Forge Multi-Turn RFT: Composite Reward Design
AWS details composite reward engineering for Nova Forge's multi-turn RFT, including sandboxed code execution and diagnosing silently dead reward components.
Fine-Tuning Qwen3-0.6B for Tool Calling with XYZ-Aquila-SFT
A reproducible SFT pipeline streams 400 XYZ-Aquila-SFT trajectories, bypasses apply_chat_template to preserve reasoning blocks, and fine-tunes Qwen3-0.6B with LoRA.
General Catalyst Leads $1.1B Round into 2-Month-Old River AI
River AI, founded by xAI co-founder Igor Babuschkin, raises $1.1B to rebuild the AI stack and make agents personally trainable.
The Economics of RAG vs. Fine-Tuning in Enterprise AI
A deep dive into architecture strategy: When should your company use Retrieval-Augmented Generation, and when is it worth paying for Fine-Tuning?