Top 5 AI Breakthroughs of 2023 (Explained)
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In this exciting video, we're diving deep into the top 5 AI breakthroughs of 2023. Get ready to explore cutting-edge developments in the world of artificial intelligence, understanding their significance and how they can be applied in your own projects, career, or research.
Algorithmic Innovations: We start by exploring two major algorithmic breakthroughs.
Mamba: Dive into the efficiency of Mamba, a popular tool in recent months, and understand its impact on the AI landscape.
FlashAttention2 vs. FlashAttention: Discover the advancements made from FlashAttention to FlashAttention2, focusing on their utilization of VRAM and SRAM, and the improvements in compute efficiency.
Agents of Change:
Voyager & Minedojo: We'll discuss the synergy between Voyager and Minedojo, highlighting their roles in long-term tasks like planetary colonization and asteroid mining. Learn how Minedojo provides the essential data and library infrastructure to accelerate agent development.
Quantization with QLoRA: Delve into the world of fine-tuning with QLoRA. I'll break down the 4-bit quantization and low-rank adaptation, showcasing their efficiency in fine-tuning processes.
Mechanistic Interpretability:
PromptIDE & Eleuther AI's Minetest: Understand the difference between alignment and mechanistic interpretability, and why tools like PromptIDE are crucial in prompt engineering and exploring unexpected outputs of language models.
Honorable Mentions: Although not unique to 2023, we'll touch upon significant developments like the Mixture of Experts and the importance of data science and scalability in AI.
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🔗 Useful Links:
Quantization: QLoRA - https://arxiv.org/pdf/2305.14314.pdf
Algorithms 1: Mamba - https://arxiv.org/pdf/2312.00752.pdf
Algorithms 2: FlashAttention2 - https://arxiv.org/pdf/2307.08691.pdf
Algorithms 3: FlashAttention - https://arxiv.org/pdf/2205.14135.pdf
Agents 1: Voyager - https://arxiv.org/pdf/2305.16291.pdf
Agents 2: Minedojo - https://arxiv.org/pdf/2206.08853.pdf
Alignment 1 (Mechanistic Interpretability) - https://x.ai/prompt-ide/
Alignment 2 (Mechanistic Interpretability) - https://www.eleuther.ai/projects/alig...
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