LLaMA-2-7B Achieves 97.7% Math Ability? Xwin-Math Unlocks Potential with Synthetic Data

LLaMA-2-7B Achieves 97.7% Math Ability? Xwin-Math Unlocks Potential with Synthetic Data

Source: Machine Heart This article is about 1600 words long, suggested reading time is 5 minutes. Synthetic data continues to unlock the mathematical reasoning potential of large models! The ability to solve mathematical problems has always been regarded as an important indicator of the intelligence level of language models. Typically, only models that are extremely … Read more

Insights on LLAMA-3 from Zhang Junlin

Insights on LLAMA-3 from Zhang Junlin

MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP graduate students, university teachers, and researchers in enterprises. The Community’s Vision is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from | Weibo … Read more

The Rise of Deepfake: What Is Synthetic Data Used For?

The Rise of Deepfake: What Is Synthetic Data Used For?

Author | Astasia Myers Translator | Sambodhi Editor | Vincent AI Frontline Introduction: We previously published an article titled “AI Startups Competing to Commercialize Deepfake” on the 4th of this month. We believe readers have already recognized that Deepfake is a double-edged sword; when used correctly, it benefits society, but when misused, it can lead … Read more

Microsoft’s ‘Little Cannon’: Phi-4 – A Model for Complex Inference Driven by Synthetic Data

Microsoft's 'Little Cannon': Phi-4 - A Model for Complex Inference Driven by Synthetic Data

Follow us to stay updated! Recently, the LLM community has been immersed in the shock brought by DeepSeek-V3. This model is not only open-source but also performs well. However, such a large-scale LLM is beyond our reach (the GPU memory can’t handle it). If we can’t afford that, let’s take a look at Microsoft’s open-source … Read more