transformers came out in 2017, just as i was coming onto the scene (maybe slightly before)
MACHINE LEARNING
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Proprietary Data Less Useful Than Expected for Pre-trained Models
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After years of AI meaning building your own models trained on proprietary data, one of the hardest things for firms to grasp is that their own data is much less immediately useful for pre-trained models The value in adding data in a use case will require experimentation to learn
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Accelerating AI Development Data Pipeline for Autonomous Vehicles
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Watch this @PureStorage webinar "Accelerating the AI Development Data Pipeline for Autonomous, Software-Defined Vehicles" at https://
purestorage.com/video/webinars
/accelerating-the-ai-development-data-pipeline/6348011604112.html
… Tomorrow’s consumer vehicles will be electric, autonomous, software-defined, and powered by artificial intelligence (AI). The -
Three Major ML Breakthroughs: What Comes Next?
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since i got into ML in 2017 or so there have been exactly three major advancements: 1. web-scale language model pretraining (OpenAI, 2020)
2. diffusion models (OpenAI, 2020)
3. language model refinement via human feedback (OpenAI, 2022) what’s next? it’s been a while -
Abacus AI Case Studies: Enterprise-Scale Machine Learning Platform
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Explore @AbacusAI Case Studies — see how their #AI platform handles all aspects of #MachineLearning & #DeepLearning at enterprise scale: https://
abacus.ai/casestudies #DataScience #PredictiveAnalytics #AnomalyDetection #ComputerVision #LLMs #LLMOps #MLOps https://
abacus.ai/about -
GENES launches training plan for data scientists
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[#Article] GENES announces a development plan to train more data scientists https://actuia.com/actualite/le-genes-annonce-un-plan-de-developpement-pour-former-plus-de-data-scientists/
… #AI #artificialintelligence -
Hinton argues intelligent machines possess understanding and subjective experience
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An important take on intelligent machines today, arguing that they already have understanding and subjective experience , by Geoffrey Hinton | https://
youtu.be/iHCeAotHZa4?si
=xOljp9ngspiela_v
… via @YouTube -
Frontier models outperform specialized AIs trained on proprietary data
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There was a moment that we thought proprietary data would let organizations train specialized AIs that could compete with frontier models. It turns out that probably isn't going to happen. The largest frontier models are just much better at most complex tasks than smaller models.