Remove Database Remove Demo Remove Supervised Learning
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The Ascent of ChatGPT

ODSC - Open Data Science

Since its release on November 30, 2022 by OpenAI , the ChatGPT public demo has taken the world by storm. These models are the technology behind Open AI’s DALL-E and GPT-3 , and are powerful enough to understand natural language commands and generate high-quality code to instantly query databases.

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10 Can’t-Miss Sessions on Language Models Coming to ODSC West 2023

ODSC - Open Data Science

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.

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Announcing the ODSC West 2023 Preliminary Schedule

ODSC - Open Data Science

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?

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Better Forecasting with AI-Powered Time Series Modeling

DataRobot Blog

supervised learning and time series regression). Close the loop by connecting your predictions into any database—including batch or real-time predictions using the DataRobot API. Let’s run through the process and see exactly how you can go from data to predictions. Check all your models at a glance.

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Prodigy: A new tool for radically efficient machine teaching

Explosion

To keep the system requirements to a minimum, data is stored in an SQLite database by default. 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. Human time and attention is precious.

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Retrieval augmented generation (RAG): a conversation with its creator

Snorkel AI

I don’t think we would have been able to write a paper about just “vector-database-plus-language-model.” As humans, we learn a lot of general stuff through self-supervised learning by just experiencing the world. Everybody wants to build a cool demo. Everybody wants to build a cool demo.

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Retrieval augmented generation (RAG): a conversation with its creator

Snorkel AI

I don’t think we would have been able to write a paper about just “vector-database-plus-language-model.” As humans, we learn a lot of general stuff through self-supervised learning by just experiencing the world. Everybody wants to build a cool demo. Everybody wants to build a cool demo.