As the application of large modelsaccelerates across various industries, SFT (Supervised Fine-Tuning)has become a crucial step in enhancing model capabilities. A high-quality fine ...

Data annotation is like giving labels to raw data so machines can understand it. Just like we use sticky notes to organise our thoughts, machines need labels to make sense of the world. These labels ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Large companies in the EU are legally required to report their greenhouse gas (GHG) emissions. Yet pulling this information ...

Different projects require different workflows. In data annotation platforms, flexible workflows help manage quality, speed, and complexity. Rigid workflows can lead to delays and errors, especially ...

Data annotation, or the process of adding labels to images, text, audio and other forms of sample data, is typically a key step in developing AI systems. The vast majority of systems learn to make ...

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...

Artificial intelligence is blamed for taking away thousands of jobs. But, it also creates a few — at least for now. That’s because some artificial intelligence systems are still pretty dumb. They need ...

AI data management and annotation startup Dataloop today announced it has raised $16 million in funding through an $11 million series A round and a previously undisclosed $5 million seed round. A ...