Catching up on the weird world of LLMs https://
bit.ly/3qfMNJM #AI #MachineLearning #DeepLearning #LLMs #DataScience
MACHINE LEARNING
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Exploring the Peculiar Landscape of Large Language Models
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Stanford XCS224U: Natural Language Understanding Course 2023
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Stanford XCS224U: Natural Language Understanding, 2023 Excellent lectures on natural language understanding. The course covers a wide range of topics including domain adaptation for supervised sentiment, retrieval augmented in-context learning, NLP techniques/methods, etc…
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Tabular Data Retrieval: Deep Dive Webinar
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Tabular Data Retrieval Webinar Retrieval of tabular data has a lot of subtleties. I'm very excited to deep dive on this with @the_cube_dev and @Delphi_HQ next week!
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Belebele: Multilingual Benchmark for High and Low-Resource Languages
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Belebele is composed of carefully crafted multiple-choice questions & answers based on FLORES-200 passages. This work enables the evaluation of NLP systems and large language models in high and low-resource languages. More details in the paper
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Belebele: A Multilingual Dataset for Reading Comprehension
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Announcing Belebele, a first-of-its-kind multilingual reading comprehension dataset. This dataset is parallel for 122 language variants, enabling direct comparison of how well models understand different languages. Dataset
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Adaptive Learning of System Values from Observable Behavior
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Not necessarily. For example, you might learn that value adaptively based on observed behavior of the system (and therefore respond to dynamic changes), or learn different settings of that value for different machines on which your system is being run.
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Kaggle Competition: Optimizing AI Model Runtime Performance
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Announcing a new @Kaggle competition for optimizing programs for AI model workloads, with winners invited to present at the #NeurIPS2023 ML for Systems workshop! Learn more and enter the competition → https://
kaggle.com/competitions/p
redict-ai-model-runtime
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Knowledge Graphs: Game-Changer in AI and Data Science
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Knowledge Graphs: The Game-Changer in AI and Data Science: Introduction Knowledge graphs have emerged as a powerful and versatile approach in AI and Data… #DataAnalytics #DataScience #DataDriven #SaaS #AI #ITDirector #MachineLearning #BigDataAnalytics https://
analyticsvidhya.com/blog/2023/08/k
nowledge-graphs-in-ai-and-data-science/?utm_source=dlvr.it&utm_medium=twitter
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Outdated Tutorial: Updated Transformers Documentation Available
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It's a pretty old tutorial now – i think there is more up to date material in the transformers documentation for instance cc @stevhliu in case you have a link handy!
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Computer Vision State 2023: AI Deep Learning Advances
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Ahead of AI #10: State of Computer Vision 2023 https://
bit.ly/3KwjV70 #AI #MachineLearning #DeepLearning #LLMs #DataScience