A beginner's guide to the Wan-2.2-I2v-Fast model by Wan-Video on Replicate
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What OCR Actually Does OCR, or Optical Character Recognition, converts printed or handwritten text into machine‑readable characters. That’s it. It focuses on r...
Automated Program Repair (APR) aims to automatically generate correct patches for buggy programs. Recent approaches leveraging large language models (LLMs) have...
Large Language models (LLMs) can generate complicated source code from natural language prompts. However, LLMs can generate output that deviates from what the u...
Recurrent networks are typically trained with backpropagation through time (BPTT). However, BPTT requires storing the history of all states in the network and t...
Transformer-based large language models (LLMs) have demonstrated remarkable potential across a wide range of practical applications. However, long-context infer...
AUC measures how well a model ranks positives above negatives, independent of any chosen threshold. The post The Machine Learning “Advent Calendar” Bonus 1: AUC...
Towards understanding if your agentic solution is actually better The post Agents Under the Curve AUC appeared first on Towards Data Science....
WTF is this: Synthetic Data Generation Edition Ah, the joys of living in a world where robots can generate fake data that's almost as good as the real thing. It...
This weekend note is a bit late because Phase One of my Deep Data Analyst project failed for now. That means I can’t continue the promised Data Analyst Agent t...
The Ultimate Guide to AI Agent Conferences 2025 As AI continues to evolve and disrupt industries, AI agents—software programs that autonomously perform tasks u...
Simulation optimization (SO) is frequently challenged by noisy evaluations, high computational costs, and complex, multimodal search landscapes. This paper intr...