We see that the hybrid Jamba model outperforms both pure attention and pure Mamba models. The ratio of attention-to-Mamba layers of either 1:3 or 1:7 performs comparably, but given that a 1:7 ratio is more compute-efficient, we opt for it in our model. 2/6
MACHINE LEARNING
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Jamba Whitepaper Released: Hybrid SSM-Transformer Architecture Details
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Jamba whitepaper is out!
The whitepaper details our in-depth ablations on this novel hybrid SSM-Transformer architecture, and how we chose to interleave Mamba, Transformer and MoE. https://
arxiv.org/abs/2403.19887 Here are some highlights from the paper 1/6 -
AI-Powered Product Discovery Innovation via Origin Trail
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#AI-powered product discovery
— Ronald van Loon (@Ronald_vanLoon) 1 avril 2024
via @origin_trail#ArtificialIntelligence #MI #Innovation #FutureOfWork #Tech
cc: @bigdata @patrickgunz_ch @ravikikan pic.twitter.com/VrNYvy9iKw#AI-powered product discovery
via @origin_trail #ArtificialIntelligence #MI #Innovation #FutureOfWork #Tech cc: @bigdata @patrickgunz_ch @ravikikan -
Ava AI Agent Learns On Job With Reward Reinforcement
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And best of all, Ava learns on the job. Artisan uses reward function reinforcement learning to make sure Ava takes in your feedback and improves over time. Like a real human would.
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3D Athlete Tracking: Boost Performance with AI and Edge Computing
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#3D Athlete Tracking: Boost Performance
— Ronald van Loon (@Ronald_vanLoon) 1 avril 2024
by @Ronald_vanLoon & Chi Tran |#IntelAmbassador @Intel @IntelBusiness @IntelEdge #MWC24 #5G #AI #Edge #Sports #DataAnalytics #IoT
Cc: @KirkDBorne | @jamesvgingerich | @Chels_LA | @BevEve | pic.twitter.com/H03n0hIKyg#3D Athlete Tracking: Boost Performance
by @Ronald_vanLoon & Chi Tran | #IntelAmbassador @Intel @IntelBusiness @IntelEdge #MWC24 #5G #AI #Edge #Sports #DataAnalytics #IoT Cc: @KirkDBorne | @jamesvgingerich | @Chels_LA | @BevEve | -
Accelerating NLP Development in Healthcare with Snorkel AI
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Looking to accelerate Natural Language Processing (NLP) in healthcare? Join Snorkel AI's Nazanin Makkinejad as she delves into how Fortune 500 healthcare and life science companies expedite NLP application development.
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Python, Machine Learning, MLOps, CV/NLP, LLMs tutorials daily
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If you are interested in: – Python – Machine Learning – MLOps – CV/NLP – LLMs Find me → @Sumanth_077 Everyday, I share tutorials on above topics! Like/RT the first tweet to help this reach more people!
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7 Magic Commands to Save Time in Jupyter Notebooks
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If you are using jupyter notebooks for Python and Data Science, try these 7 magic commands that will save you a ton of time: 1. Jupyter AI: Select any model and chat with it right from the Jupyter Notebook.
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10 Emerging Innovations That Could Redefine IT
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10 emerging #Innovations that could redefine #IT
by @peterwayner @CIOonline Read more: https://
buff.ly/3JRhiKW #AI #BigData #MachineLearning #ArtificialIntelligence #Cloud #ML #Blockchain cc: @terenceleungsf @yvesmulkers @pascal_bornet -
Fine-tuning T5 Model for Stack Overflow Question Tags Generation
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🎥 New Video Alert 🎥https://t.co/JRiqDVpjdo
— Satya Mallick (@LearnOpenCV) 1 avril 2024
Check out our latest video, in which we explore the power of fine-tuning the T5 (Text-To-Text Transfer Transformer) model. We discuss the process of tailoring the T5 model for generating Stack Overflow question tags, showcasing its… pic.twitter.com/RF1395rJxjNew Alert https://
youtube.com/watch?v=u6HYYi
z2MyE
… Check out our latest video, in which we explore the power of fine-tuning the T5 (Text-To-Text Transfer Transformer) model. We discuss the process of tailoring the T5 model for generating Stack Overflow question tags, showcasing its