Snorkel AI

JULY 6, 2023

Nyla Worker, product manager at NVIDIA gave a presentation entitled “Leveraging Synthetic Data to Train Perception Models Using NVIDIA Omniverse Replicator” at Snorkel AI’s The Future of Data-Centric AI virtual conference in August 2022. You can read more about that in blogs, but overall, this can be used in multiple industries.

AI 59

AI AI Neural Network Deep Learning 59

Pickl AI

MARCH 10, 2023

The following blog will discuss the familiar Data Science challenges professionals face daily. Examples of Challenges While Data Scientists spend 87% of their time in the process of Data Cleaning, 57% of them label it as time-consuming and highly dull. Additionally, they must keep a log of all the activities to prevent duplication.

Data Scientist 52

Data Scientist Data Science Data Integration Auto-classification 52

Heartbeat

FEBRUARY 15, 2024

While deep learning models thrive on large labeled datasets, HOG’s feature extraction approach allows it to generalize across different object types. Additionally, HOG’s simplicity and computational efficiency make it a valuable contender for real-time applications, especially in scenarios where resource constraints are a concern.

Computer Vision 40

Computer Vision Deep Learning Neural Network Data Scientist 40

The Stanford AI Lab Blog

DECEMBER 6, 2021

The thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) 2021 is being hosted virtually from Dec 6th - 14th. Some of the members in our SAIL community also serve as co-organizers of several exciting workshops that will take place on Dec 13-14, so we hope you will check them out!

Neural Network 40

Neural Network Deep Learning Machine Learning AI 40

Heartbeat

JUNE 14, 2023

Thus, if a calibrated classifier labels 100 input images as “dog” with 0.4 Here are the ground truth labels for these 5 images with predicted labels (from a neural network) and their associated probabilities. Label Smoothing Equation [5] In their 2019 paper “ When does label smoothing help? ”, Hinton et al. [5]

Neural Network 59

Neural Network Computer Vision Deep Learning Explainability 59

Google Research AI blog

JULY 23, 2023

We aim to build a more collaborative ecosystem with the broader ML research community through open-sourcing tools and datasets, publishing our work, and actively participating in conferences. See Google DeepMind’s blog to learn about their technical participation at ICML 2023. demos and Q&A sessions).

Neural Network 77

Neural Network Machine Learning Large Language Models Algorithm 77

The Stanford AI Lab Blog

MARCH 28, 2022

We don’t have the luxury of collecting a massive amount of labeled dataset to train a fully supervised learning algorithm for each and every assignment. This is because, although we have labels for some MDPs, these labels are not on the state-level (i.e., Learning state-level labels becomes a challenge!

Algorithm 52

Algorithm Auto-classification Automation Auto-complete 52

Bugra Akyildiz

JUNE 3, 2023

Articles Stanford published a blog post on how Reinforcement Learning Human Feedback(RLHF) can be made available in a low cost, more reliable and reproducible. Google published a comprehensive framework(called Plex) for reliable deep learning model architectures in the following blog post. The library is available in GitHub.

Large Language Models 52

Large Language Models Deep Learning Auto-complete LLM 52

The MLOps Blog

JULY 18, 2023

Automated note-taking The question becomes, how do we sit in a conversation like this over Zoom or Google Meet or any other video conference provider and generate well-written pros nodes that you would immediately send out to the people in the meeting that explain what happened in the meeting? We need to be able to label it quickly.

Conversational AI 52

Conversational AI Natural Language Processing AI AI 52

Explosion

DECEMBER 28, 2019

Jul 4-6: And then there was: spaCy IRL , our first big conference, which took place in Berlin at the historic Heimathafen Neukölln. The main event was sold out with 200 attendees and we had 13 speakers including Yoav Goldberg and Sebastian Ruder as keynotes. Sep 4: spacy-transformers kept getting better as we released v0.4.0,

NLP 52

NLP BERT Machine Learning Python 52

Heartbeat

JULY 24, 2023

End-to-end learning of brain tissue segmentation from imperfect labeling. IEEE International Joint Conference on Neural Networks (IJCNN). Plis, ‘Brainchop: In-browser MRI volumetric segmentation and rendering’, Journal of Open Source Software, vol. 5098, 2023. doi:10.21105/joss.05098 05098 [2] Fedorov, A., Johnson, J., Damaraju, E.,

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Machine Learning 52

Sebastian Ruder

JANUARY 24, 2022

However, for many domains large amounts of labelled data are already available, which can be used to learn better representations. Prompts typically include a pattern that asks the model to make a certain prediction and a verbalizer that converts the prediction to a class label. Prompts are not a silver bullet, however.

NLP 52

NLP ML BERT Computational Linguistics 52

Google Research AI blog

NOVEMBER 28, 2022

Posted by Cat Armato, Program Manager, Google This week marks the beginning of the 36th annual Conference on Neural Information Processing Systems ( NeurIPS 2022 ), the biggest machine learning conference of the year.

Neural Network 52

Neural Network Machine Learning Large Language Models Algorithm 52

AWS Machine Learning Blog

MARCH 14, 2024

With fine-tuning, you provide labeled datasets—which are annotated with additional context—to train the model on specific tasks. General search with recent events – If you want to determine the current stock price for Amazon, you can use the approach of prompt engineering with an agent.

Generative AI 105

Generative AI Prompt Engineer Prompt Engineering AI 105

AWS Machine Learning Blog

SEPTEMBER 12, 2023

Specifically, the bottleneck was the classification step, in which employees had to read and label request texts on a daily basis. The Github merge event triggers our Jenkins CI pipeline, which in turn starts a SageMaker Pipelines job with test data. This acts as a test to make sure that codes are running as expected.

Data Scientist 96

Data Scientist Data Science NLP Machine Learning 96