ODSC - Open Data Science

AUGUST 29, 2023

Confirmed sessions include: Personalizing LLMs with a Feature Store Understanding the Landscape of Large Models Building LLM-powered Knowledge Workers over Your Data with LlamaIndex General and Efficient Self-supervised Learning with data2vec Towards Explainable and Language-Agnostic LLMs Fine-tuning LLMs on Slack Messages Beyond Demos and Prototypes: (..)

Natural Language Processing 98

Natural Language Processing Machine Learning Machine Learning Data Scientist 98

ODSC - Open Data Science

SEPTEMBER 15, 2023

Confirmed sessions include: Personalizing LLMs with a Feature Store Understanding the Landscape of Large Models Building LLM-powered Knowledge Workers over Your Data with LlamaIndex General and Efficient Self-supervised Learning with data2vec Towards Explainable and Language-Agnostic LLMs Fine-tuning LLMs on Slack Messages Beyond Demos and Prototypes: (..)

Data Analysis 96

Data Analysis Data Analysis AI AI 96

ODSC - Open Data Science

OCTOBER 2, 2023

Confirmed sessions include: Personalizing LLMs with a Feature Store Understanding the Landscape of Large Models Building LLM-powered Knowledge Workers over Your Data with LlamaIndex General and Efficient Self-supervised Learning with data2vec Towards Explainable and Language-Agnostic LLMs Fine-tuning LLMs on Slack Messages Beyond Demos and Prototypes: (..)

Data Science 98

Data Science Supervised Learning Python AI 98

ODSC - Open Data Science

SEPTEMBER 6, 2023

Confirmed sessions include: Personalizing LLMs with a Feature Store Understanding the Landscape of Large Models Building LLM-powered Knowledge Workers over Your Data with LlamaIndex General and Efficient Self-supervised Learning with data2vec Towards Explainable and Language-Agnostic LLMs Fine-tuning LLMs on Slack Messages Beyond Demos and Prototypes: (..)

Data Science 98

Data Science Supervised Learning Python AI 98

ODSC - Open Data Science

SEPTEMBER 20, 2023

Tuesday is the first day of the AI Expo and Demo Hall , where you can connect with our conference partners and check out the latest developments and research from leading tech companies. Finally, get ready for some All Hallows Eve fun with Halloween Data After Dark , featuring a costume contest, candy, and more. What’s next?

Data Wrangling 52

Data Wrangling Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

FEBRUARY 14, 2023

Since its release on November 30, 2022 by OpenAI , the ChatGPT public demo has taken the world by storm. Furthermore, in the short time that the ChatGPT demo has been available for evaluation, we’re already seeing a plethora of caveats. Like its predecessors, ChatGPT generates text in a variety of styles, for a variety of purposes.

Database 124

Database AI AI Natural Language Processing 124

ODSC - Open Data Science

OCTOBER 4, 2023

General and Efficient Self-supervised Learning with data2vec Michael Auli | Principal Research Scientist at FAIR | Director at Meta AI This session will explore data2vec, a framework for general self-supervised learning that uses the same learning method for either speech, NLP, or computer vision.

Supervised Learning 52

Supervised Learning Machine Learning Machine Learning Data Science 52

AWS Machine Learning Blog

NOVEMBER 10, 2023

For example, you might want to solve an image recognition task using a supervised learning algorithm. Clean up To avoid incurring unwanted costs when you’re done experimenting with HPO, you must remove all files in your S3 bucket with the prefix amt-visualize-demo and also shut down SageMaker Studio resources.

ML 115

ML ML Algorithm Python 115

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

Ines Montani

AUGUST 4, 2017

Because annotations can be collected quicker and models require less annotations to produce first results, it’s easier to conduct supervised learning experiments and find out whether an idea is working or not. This works best with extensible tools, not services.

Python 52

Python Supervised Learning Data Scientist Artificial Intelligence 52

ODSC - Open Data Science

SEPTEMBER 26, 2023

Confirmed sessions include: Personalizing LLMs with a Feature Store Understanding the Landscape of Large Models Building LLM-powered Knowledge Workers over Your Data with LlamaIndex General and Efficient Self-supervised Learning with data2vec Towards Explainable and Language-Agnostic LLMs Fine-tuning LLMs on Slack Messages Beyond Demos and Prototypes: (..)

Data Science 52

Data Science Supervised Learning Artificial Intelligence Artificial Intelligence 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 Science 59

Data Science Supervised Learning Data Mining Data Mining 59

DataRobot Blog

DECEMBER 15, 2022

supervised learning and time series regression). To see a demo on how you can leverage AI to make forecasting better, and accelerate the machine learning life cycle, please watch the full video, AI-Powered Forecasting: From Data to Consumption.

Exploratory Data Analysis 81

Exploratory Data Analysis AI AI Machine Learning 81

ODSC - Open Data Science

OCTOBER 13, 2023

Confirmed LLM sessions include: Personalizing LLMs with a Feature Store Evaluation Techniques for Large Language Models Building an Expert Question/Answer Bot with Open Source Tools and LLMs Understanding the Landscape of Large Models Democratizing Fine-tuning of Open-Source Large Models with Joint Systems Optimization Building LLM-powered Knowledge (..)

Data Science 52

Data Science Supervised Learning 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. The more complicated the structure your model has to produce, the more benefit you can get from Prodigy’s binary interface. Human time and attention is precious.

Supervised Learning 52

Supervised Learning Python Machine Learning Machine Learning 52

Snorkel AI

FEBRUARY 6, 2023

But then, well, I’m presenting here, so I probably will have a demo ready, right, to show you. And that’s the power of self-supervised learning. But desert, ocean, desert, in this way, I think that’s what the power of self-supervised learning is. It’s essentially self -supervised learning.

ML 52

ML ML Supervised Learning Deep Learning 52

Snorkel AI

FEBRUARY 6, 2023

But then, well, I’m presenting here, so I probably will have a demo ready, right, to show you. And that’s the power of self-supervised learning. But desert, ocean, desert, in this way, I think that’s what the power of self-supervised learning is. It’s essentially self -supervised learning.

ML 52

ML ML Supervised Learning Deep Learning 52

Google Research AI blog

JUNE 18, 2023

Our researchers will also be available to talk about and demo several recent efforts, including on-device ML applications with MediaPipe , strategies for differential privacy, neural radiance field technologies and much more.

Supervised Learning 116

Supervised Learning Deep Learning Deep Learning Artificial Intelligence 116

ODSC - Open Data Science

AUGUST 30, 2023

Confirmed sessions include: Personalizing LLMs with a Feature Store Understanding the Landscape of Large Models Building LLM-powered Knowledge Workers over Your Data with LlamaIndex General and Efficient Self-supervised Learning with data2vec Towards Explainable and Language-Agnostic LLMs Fine-tuning LLMs on Slack Messages Beyond Demos and Prototypes: (..)

Data Science 52

Data Science Supervised Learning AI AI 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

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

Snorkel AI

JANUARY 16, 2024

As humans, we learn a lot of general stuff through self-supervised learning by just experiencing the world. Where we are right now in the field is that there’s been this kind of “demo disease,” as we call it at Contextual AI. Everybody wants to build a cool demo. Everybody wants to build a cool demo.

AI 52

AI Supervised Learning AI Algorithm 52

Snorkel AI

JANUARY 16, 2024

As humans, we learn a lot of general stuff through self-supervised learning by just experiencing the world. Where we are right now in the field is that there’s been this kind of “demo disease,” as we call it at Contextual AI. Everybody wants to build a cool demo. Everybody wants to build a cool demo.

Supervised Learning 52

Supervised Learning AI AI Algorithm 52

Chatbots Life

MAY 12, 2023

Such models can also learn from a set of few examples The process of presenting a few examples is also called In-Context Learning , and it has been demonstrated that the process behaves similarly to supervised learning. In this model, the authors used explicit unified prompts such as “summarize:” to train the model.

AI 90

AI AI ML ML 90

Pickl AI

JANUARY 12, 2023

Course Overview : Python Pandas Statistics Introduction to Machine Learning Supervised Learning 1 Supervised Learning 2 Unsupervised Learning Course Eligibility To be eligible for the Data Science course for working professionals, an individual must have worked in an organization for a certain number of years.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Explosion

MAY 12, 2016

A favourite example: They ate the pizza with anchovies A correct parse would link “with” to “pizza”, while an incorrect parse would link “with” to “eat”: You can explore the technology visually with our displaCy demo , or see a terse example of a rule-based approach to computing with the parse tree.

Natural Language Processing 40

Natural Language Processing Supervised Learning Algorithm 40

DagsHub

JANUARY 27, 2025

Text labeling has enabled all sorts of frameworks and strategies in machine learning. Book a Demo Manual Labeling This kind of labeling is the less sophisticated one in terms of technology requirements. Obviously, this is also a weak supervised learning approach, because the labels are not guaranteed to be 100% correct.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Supervised Learning 52

Pickl AI

APRIL 26, 2024

Machine learning is a subset of artificial intelligence that enables computers to learn from data and improve over time without being explicitly programmed. Explain the difference between supervised and unsupervised learning. Additional Benefits Free demo sessions. Lifetime access to updated learning materials.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Mlearning.ai

JANUARY 31, 2023

On the other hand, the labels put by me only rely on time, but in practice we know that’s gonna make errors, so a classifier would learn from bad data. Now I have to stress one thing: what I’ve done here, that is using a clustering algorithm to annotate data for supervised learning, cannot be done most time. Data preprocessing.

Clustering 52

Clustering Algorithm Machine Learning Machine Learning 52

The MLOps Blog

MARCH 21, 2023

An ML platform standardizes the technology stack for your data team around best practices to reduce incidental complexities with machine learning and better enable teams across projects and workflows. We ask this during product demos, user and support calls, and on our MLOps LIVE podcast. Why are you building an ML platform?

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

ODSC - Open Data Science

SEPTEMBER 4, 2023

Here are a few confirmed sessions with plenty more to come: Personalizing LLMs with a Feature Store Evaluation Techniques for Large Language Models Understanding the Landscape of Large Models Democratizing Fine-tuning of Open-Source Large Models with Joint Systems Optimization Building LLM-powered Knowledge Workers over Your Data with LlamaIndex General (..)

AI 98

AI AI Data Science Supervised Learning 98