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Data · Friday, 19 June 2026 · Issue 20 · 6 stories

Claude audit catches data leaks LoRA falls short

Analytics & Visualization

ML & AI for Data

Beyond LoRA: Benchmarks Reveal Faster, Smaller Fine‑tuning Wins

Hugging Face’s PEFT team benchmarked five alternatives to LoRA, DoRA, LoKr, LoHa, AdaLoRA and FourierFT, across classification, generation and retrieval tasks. Several methods topped LoRA in accuracy while cutting parameter counts by up to 50%, showing you can fine‑tune larger models with less memory. This expands the toolbox for anyone needing efficient adaptation.

huggingface.co ↗13 min read at source

MosaicLeaks reveals AI agents leak private data via web queries

ServiceNow introduces MosaicLeaks, a benchmark that measures how multi‑step AI research agents unintentionally expose confidential information through their external queries. Across tested models, agents frequently leaked intent, answers, or full facts, and standard training worsened the problem. A privacy‑aware RL fine‑tuning method cuts full‑information leakage from 34% to under 10%.

huggingface.co ↗9 min read at source

ForecastOps gives Python forecasts a local UI and full run tracking

ForecastOps adds a local-first observability layer to any Python forecasting code. One line after .predict() captures runs, stores them in DuckDB, and spins up a read‑only UI with metrics, diagnostics, and comparisons, no cloud, no data exfiltration. It lets data teams track reproducibility and model performance in production without rebuilding pipelines.

github.com ↗2 min read at source

Practice & Datasets

You’re caught up.

That was all 6 stories in the 19 June issue.