#machinelearningandai 搜尋結果
Join my team! Please, tweet it. #AI #MachineLearningandAI #Artificialintelligence #MachineLearning #proteins #enzymes
Training my FNN model, target validation accuracy is 70% #quantitativetrading #algotrading #MachineLearningAndAI
What are your views on #Ai generating real time minecraft like games!? 🤯 #Minecraft #MachineLearningAndAI
building a interesting project:- By tracking player movement and detecting key events, we can gain valuable insights into team strategy and player performance. Stay tuned for more updates! #football #computervision #MachineLearningandAI
Have you imagined having a system that recommends drugs based on the patients condition? Well that is what I just built. #NLP #DataScience #MachineLearningAndAI #Recommendationsystem #Drugs
40% job growth in 5 years! Join the AI revolution, and enroll in our ML & AI courses now! #ailearning #MachineLearningandAI #machinelearningjobs #aijobs
What is a Mixture of Experts (MoE)? 1/ What if you could train larger models with less compute? Enter Mixture of Experts (MoE). These models achieve higher quality faster and with fewer resources than their dense counterparts. Let's dive in! #MachineLearningandAI
4/ Benefits: - Efficient pretraining - Faster inference However, challenges exist: - MoEs are compute-efficient but can struggle to generalize during fine-tuning. - Inference: Faster but requires loading all parameters in RAM, increasing memory needs. #MachineLearningandAI
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4/4 Woo X introduces "George AI," an AI-powered tool for copy trading, developed in partnership with Kaito. It analyzes crypto sentiment from platforms like X and Discord to guide traders. 🧠💹 #CryptoAI #MachineLearningAndAI #TradingView
Attend as a Speaker/Keynote Speaker/Poster Presenter at the #11DIGIPATH2023 in Dubai, UAE & Virtual from Dec 15–17, 2023. WhatsApp us: wa.me/442033222718?t… Submit your abstract here: digitalpathology.ucgconferences.com/submit-abstrac… #machinelearningandAI #diagnosticsdigitalpathology #PathologyMeeting
2/ MoE models replace dense feed-forward network (FFN) layers with sparse MoE layers, which consist of multiple "experts" (e.g., 8 neural networks). A gate network or router then directs tokens to the appropriate expert. #MachineLearningandAI
Attend as a Speaker/Keynote Speaker/Poster Presenter at the #11DIGIPATH2023 in Holiday Inn Dubai Al Barsha, UAE & Virtual from December 15–17, 2023. WhatsApp us: wa.me/442033222718?t… Submit your abstract here: digitalpathology.ucgconferences.com/submit-abstrac… #machinelearningandAI #DigitalPathology
5/ Sparsity in MoEs means only some parameters are active per input, unlike dense models. This conditional computation scales model size without increasing computation. Thousands of experts can be used per MoE layer! @OpenAI #MachineLearningandAI
3/ Example: A token like "More" might be routed to one expert, while "Parameters" goes to another. This routing is key and is learned during pretraining. Imagine the efficiency! @OpenAI #MachineLearningandAI
How best to dev @WorldUnivAndSch re "#RevolutionizingEducation w #MachineLearningAndAI": #WorldUnivINSch -toolify.ai/ai-news/revolu… w #GrowWithGoogle & #MITOCW-centric #FreeWUaSDegrees & #ExtremeLongevity re #RuralWUaS "S Oregon & N'most Cal east for 400 mi."? & re #EcotopiaLands?
Good map. & if you looked at the same map for other factors-education, poverty, infant mortality, divorce rates, smoking - it would look largely the same. (BTW, interesting W Coast exceptional band of mediocre results from S Oregon & N'most Cal east for 400 mi. Bec/very rural?
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