7/ Retentive Network – a foundation architecture for LLMs to improve training efficiency and inference; adapts retention mechanism for sequence modeling that support parallel representation, recurrent representations & chunkwise recurrent representation.
MACHINE LEARNING
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Top ML Papers Week: Llama 2, FlashAttention-2, Retentive Networks
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Top ML Papers of the Week (July 17 – July 23): – Llama 2
– FlashAttention-2
– Meta-Transformer
– Retentive Network
– Challenges & Application of LLMs
– How is ChatGPT’s Behavior Changing Over Time?
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Guide to Training Your Own Large Language Models
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How to train your own Large Language Models https://
bit.ly/44wZq2d #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Large Language Models: A Cheat Sheet Explanation
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A cheat sheet explanation of how Large Language Models work:
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LLMs: The Most Exciting Technology Right Now
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LLMs are some of the most exciting techs at a point in time on earth If you are interested in all things Machine learning and LLM then the following material you may want to really check out
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AI Outwits Human Athletes in Tennis and Table Sports
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😳💪🏾😅When AI outmaneuvers us! Gosh, as long as it doesn’t supersede us in ‘human’ intelligence
— Catherine Adenle (@CatherineAdenle) 23 juillet 2023
pic.twitter.com/yhfo6tvQvg #tennis #Wimbledon #sports #AI #Robotics #Robots #Tabletennis #MachineLearning #ArtificialIntelligence #AthleticsWhen AI outmaneuvers us! Gosh, as long as it doesn’t supersede us in ‘human’ intelligence #tennis #Wimbledon #sports #AI #Robotics #Robots #Tabletennis #MachineLearning #ArtificialIntelligence #Athletics
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Eric Lander on Cross-Disciplinary Science and Mission-Driven Research
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🎬 Here's my fireside with @EricLander46 (Prof at @Harvard @MIT) at @raais, in which we discuss:
— Nathan Benaich (@nathanbenaich) 23 juillet 2023
– Cross-disciplinary science, moving from maths into biology,
– Mission-driven science and learnings from the Human Genome Project,
– New institutions for new science and learnings… pic.twitter.com/mtafJC0ZwzHere's my fireside with @EricLander46 (Prof at @Harvard @MIT
) at @raais
, in which we discuss:
– Cross-disciplinary science, moving from maths into biology,
– Mission-driven science and learnings from the Human Genome Project,
– New institutions for new science and learnings -
Adversarial Policies Beat Superhuman Go AIs
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Adversarial Policies Beat Superhuman Go AIs Wang et al.: https://
arxiv.org/abs/2211.00241 #MachineLearning #ArtificialIntelligence #Cryptography -
Daily AI and Python Tutorials: ML, LLMs, and Computer Vision
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Everyday, I dedicate myself to creating tutorials in the following areas, and I've been doing so for over a year: • Python • AI/ML • MLOps • CV/NLP • LLMs If you enjoy my tweets and want to support me, please consider subscribing! https://
x.com/akshay_pachaar
/superfollows/subscribe
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Best Generative AI Models: Comparative Evaluation Guide
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Who is the best? Evaluating different types of generative AI models By @ingliguori https://
bit.ly/3pviApD #chatgpt #bard #cloudeai #chatgpt4 #llms #generativeai #AI #artificialintelligence #machinelearning #mlops #modelops