QwQ-32B: Embracing the Power of Reinforcement Learning

QWEN CHAT Hugging Face ModelScope DEMO DISCORDScaling Reinforcement Learning (RL) has the potential to enhance model performance beyond conventional pretraining and post-training methods. Recent studies have demonstrated that RL can significantly improve the reasoning capabilities of models. For instance, DeepSeek R1 has achieved state-of-the-art performance by integrating cold-start data and multi-stage training, enabling deep thinking and complex reasoning.Our research explores the scalability of Reinforcement...
How to improve your planning and forecasting using some math and AI – part 1

Planning Fallacy
Planning Fallacy is a term proposed by Daniel Kahneman and Amos Tversky. In 1994, they asked 37 psychology students to estimate how long it would take to finish their thesis. The average estimation was about 34 days. Their “optimistic” estimates were around 27 days and “pessimistic” about 49. In fact, their actual thesis took them around 56 days and...
Volcano v1.11 Released! A New Era of Cloud-Native Scheduling for AI and Big Data

As the de facto standard in cloud-native batch computing, Volcano has been widely adopted across various scenarios, including AI, Big Data, and High-Performance Computing (HPC). With over 800 contributors from more than 30 countries and tens of thousands of code commits, Volcano has been deployed in production environments by over 60 enterprises worldwide. It provides the industry with excellent practical...
How Uber Built Odin to Handle 3.8 Million Containers

Building AI Apps on Postgres? Start with pgai (Sponsored)pgai is a PostgreSQL extension that brings more AI workflows to PostgreSQL, like embedding creation and model completion. pgai empowers developers with AI superpowers, making it easier to build search and retrieval-augmented generation (RAG) applications. Automates embedding creation with pgai Vectorizer, keeping your embeddings up to date as your data changes—no manual...
Pinecone Alternatives

Vector databases store and retrieve high-dimensional numerical representations of data—like text, images, or audio converted into mathematical vectors. These vectors enable AI systems to understand similarities between different pieces of content through mathematical calculations.Pinecone has established itself as a widely used vector database service, which is particularly valued for its performance capabilities and simplified deployment model. However, its proprietary codebase...
Anthropic previews Claude Code: agentic coding, capable but costly • DEVCLASS

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