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Particle filtering for better LLM reasoning: a different approach to inference-time scaling

Researchers are proving that small open source models, using a well-established algorithm, can compete successfully with proprietary frontier models. Large language models continue to improve through larger architectures and more training data, but recent evidence...

The new research pipeline: open ecosystems are powering real AI progress

Not so long ago, industry research meant exploring ideas that were typically anywhere from 3 to 10 years out from actual product implementation (even faster in open source). If you’ve forgotten that definition, you’re excused. The AI era has found researchers building...

Building shoulders for giants to stand on

A long journey, briefly: lessons from a career of building the tools that build new worlds Open source and academia have a common axiom: sharing is good. We hope that what we build and discover will be used constructively. As I look back at a couple decades of my...
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