See how @Mindbreeze helps solve Legal Cases for Government Institutions through Enterprise Data Integration for #InsightsDiscovery: https://
inspire.mindbreeze.com/case-studies/h
ow-mindbreeze-solves-legal-cases-for-government-institutions?ls=22
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#KnowledgeManagement #AI #Semantic #BigData #DataScience #LinkedData #KnowledgeGraph #Automation #DataStrategy #NLProc
MACHINE LEARNING
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Mindbreeze Enterprise Data Integration Solves Legal Cases Government
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CoLLAs 2023 Journal Track: Lifelong Learning Research Submissions
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If you're a TMLR author of an accepted paper related to lifelong learning and other related topics, consider submitting to CoLLAs' journal track. The deadline is fast approaching (June 1st)! CoLLAs 2023 is once more held in Montreal, this summer on August 22 – 25.
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Word and Sentence Embeddings: Building Blocks of Large Language Models
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Did you know that word and sentence embeddings are the building blocks of most large language models? Learn more about how they work and how they're used to understand human language in this exciting piece by luis_likes_math
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AI Model Achieves 87% Accuracy in Lung Cancer Early Diagnosis
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AI to aid in the early diagnosis of lung cancer! Researchers in UK have developed an AI model that could identify cancer risk with an accuracy of 0.87, aiding doctors in making quicker decisions for patients with medium-risk abnormalities. Read more here: https://
rb.gy/pwg1o -
Hugging Face Transformers Pull Request 23394 Enhancement
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https://
github.com/huggingface/tr
ansformers/pull/23394
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Drag your GAN: Interactive Latent Space Manipulation for Image Editing
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Une nouvelle méthode « Drag your GAN » permet d’éditer les photos directement issu de modèles génératif en manipulant directement l’espace latent. Intéressant ☺️.
— Defend Intelligence (Anis Ayari) (@DFintelligence) 19 mai 2023
Le papier : https://t.co/o8Mt7BCAJs pic.twitter.com/42CHVHj0izUne nouvelle méthode « Drag your GAN » permet d’éditer les photos directement issu de modèles génératif en manipulant directement l’espace latent. Intéressant . Le papier : https://
arxiv.org/abs/2305.10973 -
LLMs Excel at Summarization Compared to Previous Methods
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That makes sense to me. Summarisation was pretty bad before, and it’s one of the strengths of LLMs.
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Base Models Achieve In-Context Learning Through Instruction Tuning
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i think even <base models have in-context learning ability if instruction tuned.
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Generative AI Advances: Cherry-Picked Demos vs Practical Applications
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Generative AI has made great strides, producing images, text, video & music. However, differentiate between cherry-picked demos & practical use cases. Models act as components in intelligent systems, not minds. For more, see JayAlammar's article series:
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Train SOTA Computer Vision Models with Super-Gradients Library
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super-gradients/YOLONAS.md at master · Deci-AI/super-gradients https://
bit.ly/44wHlBp
Easily train or fine-tune SOTA computer vision models with one open source training library. #AI #MachineLearning #DeepLearning #LLMs #DataScience