The 5 Best Image-Based Virtual Try-On AI Models: Pros, Cons, and Why They Matter Image-based virtual try-on technology is transforming how we shop online, blending augmented reality, computer vision, and generative AI to let customers visualize products in real time. From reducing returns to boosting engagement, these tools are reshaping e-commerce. But with so many…
Introduction to DeepSeek Janus-Pro 1B and 7B DeepSeek AI has just introduced Janus-Pro 7B under its DeepSeek license. This is a multimodal AI model that beats DALL-E 3 and Stable Diffusion in key tests. It follows DeepSeek’s earlier DeepSeek R1 model, known for strong reasoning. DeepSeek also released a research paper explaining Janus-Pro’s design and abilities. Though a…
Reinforcement learning (RL) has revolutionized AI at its core by enabling models to learn iteratively through interaction and feedback. When applied to large language models (LLMs), RL unlocks new opportunities for dealing with tasks involving sophisticated reasoning, e.g., math problem-solving, programming, and multimodal data interpretation. Classical approaches are greatly dependent on pretraining with massive static…
Benchmark DeepSeek-R1 OpenAI o1-1217 AIME 2024 79.8% 79.2% Codeforces 96.3 percentile 89 percentile MATH-500 97.3% 96.4% SWE-bench Verified 49.2% 48.9% GPQA Diamond 71.5% 75.7% MMLU 90.8% 91.8% Key Takeaways: While both DeepSeek-R1 and OpenAI o1 exhibit impressive capabilities, they also have limitations:
Backtesting is a crucial part of effective trading strategies. It allows us to test how a strategy would have performed in the past using historical data, which gives us ideas on how much money it could make and what risks are involved. However, backtesting has its problems. Many traders make common mistakes and have biases…
From my experience in the trading world, I can tell you that staying ahead of the curve is key. And in the fast-paced world of Bitcoin, that means exploring new tools and strategies. That’s why I’ve been diving into Multi-level Deep Q-Networks (MDQNs). They offer a unique approach to tackling the complexities of cryptocurrency trading….
The field of reinforcement learning (RL) has significantly transformed machine learning by allowing agents to acquire optimal behaviors via their interactions with the environment. Deep Q-Networks (DQNs) have advanced RL by integrating deep neural networks for the purpose of approximating Q-values, which fundamentally serve to forecast the long-term value associated with executing a particular action…
Reinforcement learning is one of the most effective types of machine learning where an agent learns by making decisions through its interaction with its environment. In other words, it is the learning process as humans learn in real life by trial and error. Think of a child trying to ride a bicycle. He wobbles, falls,…
Letโs be real: backtesting is like the ultimate โwhat ifโ game for traders. What if Iโd bought Apple stock in 2005? What if Iโd shorted GameStop before it went viral? But hereโs the kickerโwhat if your backtest is lying to you? Yep, thatโs right. Most backtests fail, and itโs not just because of bad data…