Team finetunes Gemma 12B for audio proofreading, benchmarks it against Gemini
ojasvi_yadav · x · 2026-09-04
Developer averma12 shares a hands-on comparison: the team finetuned Gemma 12B for audio reasoning in an AI proofreader for audio transcripts, then ran it against their benchmark against the current SOTA Gemini harness (gemini-flash-3.5, optimized for cost). Numbers are shown in an attached chart. A useful reference case for finetuning small open models to replace frontier APIs on vertical tasks.
More from Models
- GPT-6 Astra reportedly scores 100% on ExploitBench, finds two zero-days in testing — VraserX · 2026-09-04
- AI launch playbook under fire: influencer hype chorus vs paying users locked out — xeophon · 2026-09-04
- First impressions of Astra: clean tone and zero jargon in its writing — soumitrashukla9 · 2026-09-04
- Nadella says early customers already use Astra on Azure as Altman responds — i_dg23 · 2026-09-04
- Abu Dhabi institute IFM releases 6 fully open-source AI models with data, code & methods — Polymarket · 2026-09-04
- Early Take: Astra's Real Advance Is Spatial Reasoning, Rest Roughly s 5.6 Sol Pro — cto_junior · 2026-09-04