Data labeling has long been crucial for preparing data for machine learning and artificial intelligence. However, the advent of Generative AI has put more focus on data curation and preparation. Snorkel AI aims to address this with its new GenFlow service and Snorkel Foundry, which help organizations build customized language models and curate and prepare data for these models.
According to Alex Ratner, CEO and co-founder at Snorkel AI, curation, sampling, filtering, and cleaning of data have a tremendous impact on the foundational model that an organization generates. Therefore, one cannot merely dump random data into the model and expect it to turn out well. Hallucination is a common problem that arises from not properly training a model for a specific task.
Snorkel Foundry solves the issue of hallucination with data curation. Organizations can now point their data at the Snorkel Foundry as part of a pre-training phase to help data scientists get the right mix of data to meet their business objectives and reduce bias.
After pre-training the language model, a common step is to fine-tune it to produce better summaries and answers with better dialogue. Additionally, the new GenFlow service provides the right tooling and management capability to help filter out poor quality data to help generative AI generate an optimal output.
Ratner expects that most of the enterprise value from AI will come from more traditional predictive AI than from Generative AI in the long run. Nonetheless, data labeling remains essential for predictive AI tasks such as classifying fraud. The feedback required for Generative AI takes a different form than it does for predictive AI. Snorkel AI is trying to make this feedback more programmatic, accelerated, and better managed.
In conclusion, Snorkel AI is addressing the challenges of Generative AI with its new GenFlow service and Snorkel Foundry. The solutions help organizations curate and prepare data for language models that can generate optimal outputs.
Frequently Asked Questions (FAQs) Related to the Above News
What is data labeling, and why is it crucial for machine learning and AI?
Data labeling involves annotating and preparing data for machine learning and AI algorithms to understand and process it accurately. It is crucial because the quality of the labeled data determines the performance of the trained model.
What is Generative AI, and how does it impact data curation and preparation?
Generative AI involves creating new data or models based on existing data through machine learning algorithms. It puts a greater focus on data curation and preparation as the quality of the input data significantly impacts the output generated by the AI model.
How does Snorkel AI address the challenges of Generative AI?
Snorkel AI offers two solutions: GenFlow and Snorkel Foundry. GenFlow provides tooling and management capabilities to filter out low-quality data to improve generative AI's output. Snorkel Foundry helps organizations curate and prepare their data for language models, reducing bias and addressing the issue of hallucination.
What is the issue of hallucination, and how does Snorkel Foundry solve it?
Hallucination is a common problem that arises when a model is not correctly trained for a specific task, resulting in inaccurate output. Snorkel Foundry solves this issue by allowing organizations to pre-train their language model and curate their data to get the right mix of data to meet their business objectives and reduce bias.
Is data labeling also essential for predictive AI tasks?
Yes, data labeling is also essential for predictive AI tasks, such as classifying fraud. The quality of the labeled data determines the performance of such predictive AI models.
What feedback is required for Generative AI, and how does Snorkel AI make it more programmatic and better managed?
Generative AI requires feedback in the form of improving the quality of inputs, fine-tuning the model for better summaries, and reducing hallucination. Snorkel AI makes this feedback more programmatic, accelerated, and better managed through its GenFlow and Snorkel Foundry solutions.
Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.
