AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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SLIM-0.5B: Learning Action-Grounded Predictive Latents for Robot Manipulation
SLIM (Self-supervised Latent Interaction Model), a compact 0.5B-parameter latent interaction policy, which matches or exceeds representative large-scale VLA and world-action-model baselines with fewer parameters, no additional embodied pretraining, lower inference latency, and substantially lower GPU memory usage.