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VLMs Playing StarCraft II: A Multimodal Decision Benchmark
The provided research introduces VLM-Attention, a novel StarCraft II environment designed to better reflect human perception and decision-making by i…
1Â year, 4Â months ago
M-Attack: Simple Yet Effective Attacks Against Strong Vision-Language Models
The provided research paper introduces a novel attack method, M-Attack, designed to effectively fool sophisticated commercial large vision-language m…
1Â year, 4Â months ago
Deep Learning for Inverse Design of Radio-Frequency Circuits
This paper introduces a deep learning-based method for the generalized inverse design of complex multi-port radio-frequency and sub-terahertz electro…
1Â year, 4Â months ago
Coding with LLMs A Developer's Guide by Simon Willison
Cool twitter find
1Â year, 4Â months ago
Vision-R1 Reasoning in Multimodal Large Language Models via RL
R1 with vision?
1Â year, 4Â months ago
OWL: Optimized Multi-Agent Assistance for Task Automation
The provided files detail OWL, an innovative framework built upon CAMEL-AI, designed for multi-agent collaboration to automate real-world tasks. The …
1Â year, 4Â months ago
Generalized Kullback-Leibler Divergence Loss for Enhanced Learning
That
1Â year, 4Â months ago
Unsloth: A Practical Guide to LLM Fine-Tuning
Unsloth's documentation provides a comprehensive guide to fine-tuning large language models, particularly for beginners. It outlines the benefits of …
1Â year, 4Â months ago
Introducing the New PyTorch Landscape
Updates from the PyTorch blog
1Â year, 4Â months ago
Deep Learning for Inverse Design of Radio-Frequency Circuits
This research introduces a novel, deep-learning-enabled approach for designing complex multi-port radio-frequency and sub-terahertz circuits and elec…
1Â year, 4Â months ago