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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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AcademicCodeConceptMachine LearningpaperSeries

Deep Dive: FineTune small GPT for SPAM, ScrapeGraphAI, Parallelizable LSTMs

Sebastian Raschka guides users in fine-tuning a small GPT model to classify SPAM messages with 96% accuracy. ScrapeGraphAI is a Python library that automates data extraction from websites using LLMs. And Sepp Hochreiter’s xLSTM architecture extends traditional LSTMs to compete with state-of-the-art Transformers. These innovations are making AI more accessible and efficient! 🚀🤖📚

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CodeMachine LearningProjectVideosYouTube

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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AcademicAlgorithmCodeConceptpaperSeries

Deep dive: Transformers by Gemma, Iterative Reasoning PO, inner work of Transformers

Demystifying Transformers with Google’s Gemma, boosting reasoning tasks with Meta’s Iterative Reasoning Preference Optimization, and enhancing understanding of Transformer models with a unified interpretability framework. These are the latest strides in AI, making complex concepts accessible and improving model performance. Stay tuned for more! 🚀🧠🤖

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AcademicMachine LearningTechnologyVideosYouTube

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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AcademicVideosYouTube

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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NewsTechnology

Technow: OpenELM, FineWeb, OpenVoice

Apple has released OpenELM, a family of small yet efficient language models designed for on-device applications, leveraging a unique “layer-wise scaling” architecture. Huggingface’s FineWeb offers over 15T tokens of cleaned, deduplicated English web data optimized for LLM performance. MIT CSAIL and MyShell.ai’s OpenVoice V2 is a text-to-speech model that enables instant voice cloning and supports multiple languages with enhanced audio quality.

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