Model Evaluation Start with basic model evaluation — quick tests that tell if a model is honest or just lucky. When you have little data, use methods made for...
'Prompt‑Engineering Series – Part 1 The Foundations – How LLMs Really Work
Article URL: https://manus.im/blog/manus-100m-arr Comments URL: https://news.ycombinator.com/item?id=46409245 Points: 11 Comments: 5...
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Understanding the architecture, training pipeline and implementing TabPFN in practice The post Exploring TabPFN: A Foundation Model Built for Tabular Data appea...
Article URL: https://github.com/apple/ml-sharp Comments URL: https://news.ycombinator.com/item?id=46401539 Points: 71 Comments: 23...
In the previous article, we explored activation functions and visualized them using Python. Now, let’s see what gradients are. What Is a Gradient? Neural networ...
Cloud incidents pose major operational challenges in production, with unresolved production cloud incidents cost on average over $2M per hour. Prior research id...
Neural network pruning is widely used to reduce model size and computational cost. Yet, most existing methods treat sparsity as an externally imposed constraint...
Multimodal regression aims to predict a continuous target from heterogeneous input sources and typically relies on fusion strategies such as early or late fusio...
Automating end-to-end data science pipeline with AI agents still stalls on two gaps: generating insightful, diverse visual evidence and assembling it into a coh...
Evaluating the performance of various model architectures, such as transformers, large language models (LLMs), and other NLP systems, requires comprehensive ben...
