在人工智能产业飞速迭代的今天，大模型、多模态、AutoML等技术的突破，正在重构整个科技行业的发展格局。而在这一切技术落地的背后，算法工程师作为核心支撑力量，常年深耕在模型研发的一线，他们日复一日与参数、数据、算力打交道，反复调试、不断试错，只为打磨出精度更高、性能更优的算法模型——这种繁琐且需要极强耐心的研发过程，被业内人形象地称为“算法炼丹”。 Today, with the rapid it ...

Running a large language model is expensive, and a surprising amount of that cost comes down to memory, not computation.

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for Apple Silicon and llama.cpp.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — boosting MMLU scores by 18 points over human baselines.