Model Evaluation

7 stories

Stories

Topic: Model Evaluation

The Data Flywheel: Synthetic Data for Self-Improving Agents
Self-improving agents need fresh, labeled data. Synthetic data lets teams scale evaluation and training loops faster than real data alone.
Coasty BlogOct 8, 20263 min read
Rare Events and Edge Cases: Where Synthetic Data Wins
Real datasets miss the rare stuff that breaks your model. Synthetic data fills the gaps, lets you test safely, and cuts labeling cost. Here is how.
Coasty BlogOct 7, 20263 min read
Building Fair Evaluation Sets Is a Combinatorial Problem
Here’s how to solve it exactly. The post Building Fair Evaluation Sets Is a Combinatorial Problem appeared first on Towards Data Science.
Towards Data ScienceSep 29, 202617 min read
GPT-6 Astra Is the Best Vision Model We Have Tested
We test GPT-6 Astra on object detection, segmentation, counting, visual reasoning, and video, with examples, benchmark results, and cost comparisons.
Roboflow BlogSep 18, 202610 min read
GPT-6 Astra for Segmentation
GPT-6 Astra can return polygon outlines for any object you describe. They are not pixel masks, so we benchmarked them against SAM 3 and show how to combine the two.
Roboflow BlogSep 17, 20266 min read
Understanding Video with GPT-6 Astra
GPT-6 Astra has no video input, but a sequence of timestamped frames in one request gets you a timeline of events. Three demos: sports analytics, process monitoring and truck turnaround time.
Roboflow BlogSep 11, 20266 min read
GPT-6 Astra review: Code review results, privacy, and cost
See CodeRabbit’s GPT-6 Astra evaluation: cross-file bug detection, review findings, customer data protection, and the trade-offs in API cost.
CodeRabbit BlogSep 4, 20267 min read