This 5 AI tools are all you need!
The 5 AI Tools That Will Revolutionize How You Build AI Apps AI is evolving at an insane pace, and
Read MoreThe 5 AI Tools That Will Revolutionize How You Build AI Apps AI is evolving at an insane pace, and
Read MoreTraining an Autoregressive LSTM Model for Vessel Simulation In the world of AI-driven sequence modeling, LSTM networks have proven invaluable.
Read Morehttps://www.youtube.com/watch?v=aB-WQixErw8
DeepSeek-R1 redefines AI innovation with cost-efficient training and exceptional reasoning capabilities. Using reinforcement learning, it rivals industry leaders like GPT-4, achieving top benchmarks in reasoning, coding, and educational tasks. Its open-source distillation process empowers researchers to create smaller, powerful models, paving the way for more accessible and impactful AI development.
https://www.youtube.com/watch?v=fJzcdDYWyfQ
Just discovered how to make stunning presentations in minutes! Using Gamma.ai + ChatGPT for content and Napkin.ai for graphics, I’ve completely transformed my workflow. If you want to save time and wow your audience, check this out! #AITools #PresentationTips #GammaAI”
https://www.youtube.com/watch?v=EI7R6KYdWp8
What are the best practices for fine tuning and prompt engineering LLM. I discuss the pros and cons of each method so you can decide based on what best suits your case.
Llama Stack—a powerful, standardized framework that simplifies building and deploying generative AI solutions. Whether you’re a developer, researcher, or AI
Read MoreStart 2024 with Reflection and Growth! Are you ready to make 2024 your most balanced and fulfilling year yet? In
Read Morehttps://www.youtube.com/watch?v=Bq5aU4yW7ys
OpenAI, 12 Days of OpenAI, AI updates, Sora text-to-video, o1 model, GPT-4o, AI customization, RFT Reinforcement Fine-Tuning, Canvas feature, Apple Intelligence integration, AI search, o3 model, AI API, AI tools 2024, ChatGPT voice calling, AI for developers, future of AI, ChatGPT Pro, ChatGPT Plus.
https://www.youtube.com/watch?v=-Y77Jayy14Q
I went over highlights of 10 different topics in #Neurips2024 and suggest interesting papers and my insight.
Unlocking faster AI performance is the focus of today’s post! Discover how block sparsity speeds up Vision Transformers (ViTs) by 1.46x with minimal accuracy loss, potentially benefiting large language models too. Learn about RAPIDS cuDF integration in Google Colab, offering up to 50x acceleration for pandas code on GPU instances. Plus, dive into the efficient implementation of Kolmogorov-Arnold Network (KAN) that reduces memory costs and enhances computation efficiency.
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