Saturday, April 26, 2025
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Sam Altman: The Voice of AI, Disinformation, and the Path to AGI Youtube AIfunfactsforall
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Sam Altman: The Voice of AI, Disinformation, and the Path to AGI

https://youtu.be/F9duYlkgPGk
AI is set to revolutionize every industry, just like the internet did! 🚀 From doubling global GDP to reshaping elections, AI’s impact is massive. But with this power comes ethical challenges—like digital likeness ownership and misinformation in politics. 🗳️ Dive into insights from tech leaders Brian Chesky and Sam Altman as they explore the future of AI, its gradual path to AGI, and the importance of transparency in its development. Don’t miss out—watch my latest video to stay ahead of the curve! 💡 #AI #Innovation #TechEthics #FutureTech #ArtificialIntelligence

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Why Your RL Model Fails: Prioritized Replay and Actor-Critic in code (Part 2) AIFunFactsforAll YouTube Pedram Agand
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Why Your RL Model Fails: Prioritized Replay and Actor-Critic in code (Part 2)

In this video, I break down the code behind designing an RL agent with an Actor-Critic architecture using a prioritized replay buffer! 🤖💻 Discover how to tackle sparse rewards, optimize training efficiency, and boost your model’s performance with practical tips and WandB tracking. If you want to go beyond theory and see how to implement these concepts in code, this is the video for you! Check it out and level up your RL skills today!

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Overcome Sparse Rewards in Reinforcement Learning AIFunFactsForAll Pedram Agand Youtube
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Overcome Sparse Rewards in Reinforcement Learning

https://www.youtube.com/watch?v=iodNcqh3B-M
Struggling with sparse rewards in your RL projects? Discover how we used the ACER algorithm, reward shaping, and prioritized experience replay to boost our agent’s performance. 🚀 Watch my latest video to learn how to prevent policy collapse and achieve stable learning in complex environments. #ReinforcementLearning #AI #SparseRewards”

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Elon Musk's AI Masterplan: Tesla, Groq, and Optimus AIFunfactsforall Youtube Pedram agand
AcademicVideosYouTube
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Elon Musk’s AI Masterplan: Tesla, Groq, and Optimus

https://www.youtube.com/watch?v=opcWHxStJjE
Elon Musk’s groundbreaking vision for AI with Tesla’s supercomputers, Groq’s advanced AI systems, and the revolutionary Optimus humanoid robots! Learn how Musk is leveraging immense computing power and unique real-world data to push the boundaries of autonomous driving and AI development. Don’t miss out on the engineering marvels and innovations that are set to transform the future. Watch my latest video to explore these exciting advancements and see how they will shape tomorrow’s technology. 🚀🤖 #AI #ElonMusk #Tesla #Groq #Optimus #TechInnovation #FutureOfAI

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5 Linkedin tips from Insiders Sarah Johnson and Austin Belsac
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5 Linkedin tips from Insiders Sarah Johnson and Austin Belsac

https://www.youtube.com/watch?v=JfzQxzc5feI
Unlock your LinkedIn potential with expert tips from Sarah Johnson and Austin Belsac! 🚀 Learn how to optimize your profile with strategic keywords, craft compelling headlines, write engaging About sections, and get your skills endorsed. Ready to stand out to recruiters? Watch our latest video and download our free Job Search Toolkit for exclusive resources. Don’t miss out on these game-changing insights! #LinkedInTips #CareerAdvice #JobSearch #ProfessionalGrowth #LinkedInOptimization #JobHunters

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Score Prediction from User Log with BERT

Discover latest project: predicting user scores from interaction logs with a quiz system! By analyzing user behavior and leveraging cutting-edge ML techniques like DistilBERT, curriculum learning, and LoRA, we’ve crafted a robust model to infer scores without needing correct answers or user choices. Dive into our innovative approach and see how we’re revolutionizing educational tools. #MachineLearning #AI #EdTech #Robotics #DistilBERT #CurriculumLearning #LoRA

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deep dive upaspro
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Deepdive: pytorch profiler, standford transformer, XTuner, Luminal, DeepFaceLive

The PyTorch Profiler analyzes deep learning models’ performance by collecting timing and resource usage stats, helping identify bottlenecks and optimize memory and execution. Stanford’s CS25 lecture series, “Transformers United V4,” covers state-of-the-art transformer research and applications. XTuner offers a flexible toolkit for fine-tuning large models, supporting various algorithms and high training throughput. Luminal optimizes deep learning performance with ahead-of-time compilation and efficient execution on CUDA/Metal APIs. DeepFaceLive allows real-time face swaps from video streams, with options to train custom models and animate static faces.

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