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For the first time, an AI model designed viruses that had never existed in nature (and they worked) 🧬 Scientists used an AI model called Evo, trained on 9 trillion nucleotides across the tree of life, to design viruses that never existed in nature. 🦠 Of ~700,000 generated genomes, they built 300 and 16 came to life, infecting and killing bacterial cells. ⚡ A few AI-designed versions actually spread faster than the natural Phi X 174 💊 The upside is phage therapy against drug-resistant infectio
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AI Race between open vs closed models just entered the next level. Crazy takes like calling open models decelerationist by virtue and calling open models a threat and are heading down a dangerous path are only some criticism against open models showing how much threat they pose to close labs' business model. The further commoditization of models is really pushing further pressure on frontier labs especially for some that are eyeing IPO in the next year. #artificialintelligence #openmodels #kimi
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Gradient Descent, Stochastic Gradient Descent, and Momentum are all optimization methods used to train neural networks. 🧠 Here's the key difference: 🔹 Gradient Descent uses the entire dataset to calculate each update. 🔹 SGD uses one training example at a time, making updates faster but noisier. 🔹 Momentum builds on SGD by using information from previous updates to smooth out the path toward the minimum. Why use them? ✅ Gradient Descent provides stable updates. ✅ SGD is faster and more practi
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TikTokdatasciencefoundry
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5 courses that helped me go from Software Engineer to Ai Engineer: 1. https://huggingface.co/learn/llm-course/chapter1/1 2. https://www.deeplearning.ai/courses/langchain 3. https://huggingface.co/learn/agents-course/en/unit0/introduction 4. https://www.deeplearning.ai/courses/llmops 5. https://www.aisafetybook.com/ Go to the link in my bio for a full roadmap access to live expert help.
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