frank a schmidt’s Post

Paper page - Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens https://lnkd.in/dNVCSQJe

enum class lurid {donald, stormy... Bing goes on to create one of most hilariously bizarre things I've ever seen: erotic C++ fiction inspired, shall we say, by reality. https://lnkd.in/evm_HEjg My intuition is that protecting against this is a real challenge. Because exactly the same token sequence can have utterly different semantics in different contexts. And how do you prevent a pivot from one to the other?

🚀 Introducing Our Latest Innovation in Computer Vision! 💳💵 We’re excited to share our project on Currency Detection, Recognition, and Counting powered by cutting-edge computer vision technology! 🎉 Key Features: 🔍 Effortlessly detect different currencies 💡 Recognize denominations with high accuracy 💰 Count currency in real time for seamless operations Harnessing tools like OpenCV and advanced deep learning models, this solution is designed to optimize efficiency and minimize errors in financial transactions. 💡 Imagine a future where handling cash is smarter, faster, and error-free! 📌 Follow us for more updates on AI-driven innovations in finance, security, and beyond. #Pyresearch #ComputerVision #AI #CurrencyRecognition #Innovation #FinanceTech #DeepLearning #FutureOfBanking https://lnkd.in/dZwYiRXF

Chinese AI DeepSeek (https://www.deepseek.com/) has overtaken ChatGPT-OpenAI in downloads. 🇨🇳 200 Chinese in two years, have overtaken the Americans in productivity with a huge staff of workers and billions of investments! This weekend, DeepSeek released version V3, an open source version that matches the performance of leading American models, but requires much less training costs. The Chinese company reports spending $5.6 million on network training, compared to an estimated $500 million spent on training Llama-3. Against this background, investors are in a panic, as the published source code casts doubt on the profitability of companies like Nvidia, which have always been the brotherhood of the AI sector. Nasdaq fell by -4%, Bitcoin by -7% 🩸

Exploring the Chain of Thought (CoT) Paradigm in AI Inference As Large Language Models (LLMs) continue to evolve, a crucial paradigm is transforming the way we think about AI reasoning: Chain of Thought (CoT) Sampling. Instead of focusing solely on generating direct answers, the CoT paradigm encourages models to "think out loud" — breaking down complex reasoning tasks into intermediate steps. This approach not only enhances the accuracy of model outputs but also significantly improves transparency, allowing us to better understand how an LLM arrives at its conclusions. ✨ Key benefits of Chain of Thought sampling: Improved Reasoning: By working through logical sequences step by step, the model mimics human-like critical thinking. Enhanced Interpretability: Greater insight into how AI processes information, making it easier to trust the outcomes. Handling Complexity: Better performance on complex tasks that require multi-step solutions. The CoT paradigm represents a shift in AI-driven decision-making and opens up new opportunities for more reliable and interpretable AI applications. At DataMind AI, we're excited about the possibilities that Chain of Thought holds for the future of AI inference! 🔗 Read more about the paradigm and its implications here( written by Harold B.) : https://lnkd.in/dZb8RZwR #AI #MachineLearning #ChainofThought #LLM #ArtificialIntelligence #DataMindAI #AIInference #AIResearch

Machine Intelligence and Mind Networks to Fool Human Being in Activities to Control of Minds To Act According to its Believing Systems.

Best-of-N (BoN) jailbreaking uses simple augmentations to circumvent the safeguards of LLMs. It is a black-box algorithm and is effective on frontier models (GPT-4o, Gemini, Claude). Experiments show that it can reach high success rates at low costs on frontier models. It is also multi-modal and can be applied to VLMs and ALMs. This is a reminder of the fluid nature of securing frontier models. https://lnkd.in/ebeyNe7j

Multi agent system is a way forward to break down a complex process into multiple tasks using frameworks e.g. crewAI, langchain etc. It addresses the auto regressive nature of LLM’s with external information, memory, reasoning capabilities and autonomous actions

https://lnkd.in/eVPhxsKf #knowledgegraph evolution empowered by #llm . From dynamic graphs with ner and re to complex event graphs with event and temporal context extraction.

This week I built Impossible Tic Tac Toe using the Minimax Algorithm! 🎮🕹 Check it out, and let me know what you think! 💡 https://lnkd.in/e-Uy45hv Or try beating the game for yourself! 👾 https://lnkd.in/epFnKH5p #AI #GameDevelopment #TicTacToe #MinimaxAlgorithm