Based on monthly keyword-search data
Clickworkers delivers human-in-the-loop datasets to train, test, and optimize ML systems.
Rank | Product | Monthly VolumeVol | 3-Month GrowthGrowth |
---|---|---|---|
1 | Clickworkers Clickworkers delivers human-in-the-loop datasets to train, test, and optimize ML systems. | 47.1K | +49% |
Clickworkers delivers human-in-the-loop datasets to train, test, and optimize ML systems. | |||
2 | Kaggle Kaggle accelerates ML engineering with GPUs, datasets, and competitions to optimize models | 77.5K | +14% |
Kaggle accelerates ML engineering with GPUs, datasets, and competitions to optimize models | |||
3 | Beamng BeamNG integrates with Python/RL to train, test, and benchmark autonomous driving models | 41.9K | +10% |
BeamNG integrates with Python/RL to train, test, and benchmark autonomous driving models | |||
4 | Appen ML engineers integrate Appen to automate dataset pipelines, benchmarks, and human feedback | 27.8K | +8% |
ML engineers integrate Appen to automate dataset pipelines, benchmarks, and human feedback | |||
5 | Toloka Toloka automates high-quality data labeling to accelerate ML training and evaluation. | 7.0K | +17% |
Toloka automates high-quality data labeling to accelerate ML training and evaluation. |
Rank | Product | Monthly VolumeVol | 3-Month GrowthGrowth |
---|---|---|---|
1 | Kaggle Kaggle accelerates ML engineering with GPUs, datasets, and competitions to optimize models | 77.5K | +14% |
Kaggle accelerates ML engineering with GPUs, datasets, and competitions to optimize models | |||
2 | Clickworkers Clickworkers delivers human-in-the-loop datasets to train, test, and optimize ML systems. | 47.1K | +49% |
Clickworkers delivers human-in-the-loop datasets to train, test, and optimize ML systems. | |||
3 | Beamng BeamNG integrates with Python/RL to train, test, and benchmark autonomous driving models | 41.9K | +10% |
BeamNG integrates with Python/RL to train, test, and benchmark autonomous driving models | |||
4 | Appen ML engineers integrate Appen to automate dataset pipelines, benchmarks, and human feedback | 27.8K | +8% |
ML engineers integrate Appen to automate dataset pipelines, benchmarks, and human feedback | |||
5 | Toloka Toloka automates high-quality data labeling to accelerate ML training and evaluation. | 7.0K | +17% |
Toloka automates high-quality data labeling to accelerate ML training and evaluation. |
Rank | Product | Monthly VolumeVol | 3-Month GrowthGrowth |
---|---|---|---|
1 | Clickworkers Clickworkers delivers human-in-the-loop datasets to train, test, and optimize ML systems. | 47.1K | +49% |
Clickworkers delivers human-in-the-loop datasets to train, test, and optimize ML systems. | |||
2 | Toloka Toloka automates high-quality data labeling to accelerate ML training and evaluation. | 7.0K | +17% |
Toloka automates high-quality data labeling to accelerate ML training and evaluation. | |||
3 | Kaggle Kaggle accelerates ML engineering with GPUs, datasets, and competitions to optimize models | 77.5K | +14% |
Kaggle accelerates ML engineering with GPUs, datasets, and competitions to optimize models | |||
4 | Beamng BeamNG integrates with Python/RL to train, test, and benchmark autonomous driving models | 41.9K | +10% |
BeamNG integrates with Python/RL to train, test, and benchmark autonomous driving models | |||
5 | Appen ML engineers integrate Appen to automate dataset pipelines, benchmarks, and human feedback | 27.8K | +8% |
ML engineers integrate Appen to automate dataset pipelines, benchmarks, and human feedback |
AI is likely to replace jobs that do not require human elements such as empathy or creativity (such as a therapist or an artist). However, commercial AI adoption and job displacement will not happen as fast as many believe. Most people won't notice a change for at least 2-3 years, with a major economic shift happing over the next decade. This means you have time to adapt, ideally learning to use AI to your advantage in order to remain productive.
Most models learn patterns from data rather than "understanding" like humans. For example, AI has learned that when it sees: "Think outside the..." it will have learned to predict the next word to be "box". As technology advances, and more data centers are built, AI will continuously improve on its pattern recognition skills.
You can trust AI answers like you trust a human's answers — with the understanding that even humans with the best intentions can be wrong sometimes. However, as AI technology advances, these mistakes will become less frequent, eventually to the point of near perfection.
Your data is stored on the server of whichever company's product you are using, unless you are running an open-source AI model on your personal computer. "Safe" can be an objective term, depending how much you trust that company to protect your data.
Not yet, but most experts agree that AGI is only a matter of time. Some believe AGI, a term used to mark the moment in which artificial intelligence surpasses human intelligence, will be achieved in as few as 2-3 years, while other say 5-10 years.
Ai For Restaurants • Ai For Teachers • Ai For Academic Researchers • Ai For Actuaries • Ai For Architects