Breaking Boundaries: Launching a Lean ML Initiative
Have you ever dreamed of pushing the boundaries of machine learning research? I recently came across a Reddit post that […]
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AI and Machine Learning
Simplifying GPU Job Management Across Cloud Providers
If you’re familiar with training models on different GPU cloud providers like CoreWeave, Lambda, or RunPod, you know how frustrating
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Unraveling GNN Predictions: Explaining Next Activity in Direct Follows Graphs
I’m diving into a research project that involves building Direct Follows Graphs (DFGs) from event logs, where each node represents
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Reproducing YOLOv1 from Scratch in PyTorch: A Deep Dive into Object Detection
Ever wondered how object detection models like YOLO work under the hood? Well, I recently stumbled upon an incredible resource
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Revolutionizing Text Diffusion Models with Adaptive Refinement
When it comes to text diffusion models, we often face the challenge of using a fixed number of inference steps
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Unsaturated Evals Before GPT-5: Putting Language Models to the Test
Today’s the big day – GPT-5 is finally launching! But before we dive into all the excitement, I wanted to
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LSTMs vs Transformers: Choosing the Right Model for NLP Tasks
When it comes to NLP tasks, the debate between LSTMs and Transformers is ongoing. But what happens when the advantage
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CRINN: Revolutionizing Approximate Nearest Neighbors Search with Reinforcement Learning
Have you ever wondered how AI applications like retrieval-augmented generation and agent-based LLMs are able to search for nearest neighbors
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Experimenting with WAN 2.2 and Light 2.2 V2I Loras for Surprisingly Good Results
I recently stumbled upon an interesting combination of WAN 2.2 and Light 2.2 V2I Loras that produces videos with impressive
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Amazon ML Summer School Results Are Out
If you’re interested in machine learning, you might be excited to hear that the Amazon ML Summer School results are
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