Snorkel AI

MARCH 30, 2023

If you want to see Snorkel Flow in action, sign up for a demo. Prompt LF Builder: Explore and label data through natural language prompts using FM knowledge and translate it into labeling functions for your weakly supervised learning use cases. Interested in learning more about Snorkel Flow? Advanced SDK tools.

ML 98

ML ML Supervised Learning Azure 98

Snorkel AI

OCTOBER 6, 2023

Customizing LLMs is imperative for enterprises Large language models make for exciting demos, but solve few—if any—business problems off the shelf. Before pre-training with unstructured data, you have to curate and clean it to ensure the model learns from data that actually matters for your business and use cases. Book a demo today.

Data Science 69

Data Science Supervised Learning Data Mining Data Mining 69

Snorkel AI

OCTOBER 6, 2023

Customizing LLMs is imperative for enterprises Large language models make for exciting demos, but solve few—if any—business problems off the shelf. Before pre-training with unstructured data, you have to curate and clean it to ensure the model learns from data that actually matters for your business and use cases. Book a demo today.

Data Science 59

Data Science Supervised Learning Data Mining Data Mining 59

Mlearning.ai

JANUARY 31, 2023

It turned out that a better solution was to annotate data by using a clustering algorithm, in particular, I chose the popular K-means. While SVM is a supervised machine learning classifier, this one belongs to the family of unsupervised learning algorithms. Machine learning would be a lot easier otherwise.

Clustering 52

Clustering Algorithm Machine Learning Machine Learning 52

Explosion

AUGUST 3, 2017

Try the live demo! You’ll collect more user actions, giving you lots of smaller pieces to learn from, and a much tighter feedback loop between the human and the model. However, the unsupervised algorithm won’t usually return clusters that map neatly to the labels you care about. Human time and attention is precious.

Supervised Learning 52

Supervised Learning Python Machine Learning Machine Learning 52

Snorkel AI

OCTOBER 6, 2023

Customizing LLMs is imperative for enterprises Large language models make for exciting demos, but solve few—if any—business problems off the shelf. Before pre-training with unstructured data, you have to curate and clean it to ensure the model learns from data that actually matters for your business and use cases. Book a demo today.

Data Scientist 52

Data Scientist Data Science Supervised Learning Data Mining 52

Google Research AI blog

JULY 23, 2023

We hope you’ll visit the Google booth to learn more about the exciting work, creativity, and fun that goes into solving a portion of the field’s most interesting challenges. demos and Q&A sessions). See Google DeepMind’s blog to learn about their technical participation at ICML 2023.

Machine Learning 77

Machine Learning Machine Learning ML ML 77