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DSO: Direct Steering Optimization for Bias Mitigation
Generative models are often deployed to make decisions on behalf of users, such as vision-language models (VLMs) identifying which person in a room is a…
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Top 10 KV Cache Compression Techniques for LLM Inference: Reducing Memory Overhead Across Eviction, Quantization, and Low-Rank Methods
As large language models scale to longer context windows and serve more…
Ensembles of Ensembles of Ensembles: A Guide to Stacking
, machine learning is a hypercompetitive game of ensemble engineering. The difference…
Adaptive Thinking: Large Language Models Know When to Think in Latent Space
Recent advances in large language models (LLMs) test-time computing have introduced the…
Qwen Team Releases FlashQLA: a High-Performance Linear Attention Kernel Library That Achieves Up to 3× Speedup on NVIDIA Hopper GPUs
The race to make large language models faster and cheaper to run…
4 YAML Files Instead of PySpark: How We Let Analysts Build Data Pipelines Without Engineers
us three weeks to ship a single data pipeline. Today, an analyst…
Poolside AI Introduces Laguna XS.2 and M.1: Agentic Coding Models Reaching 68.2% and 72.5% on SWE-bench Verified
Poolside AI released the first two models in its Laguna family: Laguna…
Agentic AI: How to Save on Tokens
that working with AI in production is pretty expensive. We all know…
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