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codelion

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Frame: Grounding LLM Vulnerability Detection with a Sound Separation-Logic Core

lambdasec.github.io
2 points·by codelion·9 天前·0 comments

Mlx-optiq: per-layer mixed-precision LLM quantization for Apple Silicon

mlx-optiq.com
2 points·by codelion·27 天前·0 comments

A 1B humanizer that matches human writing on an AI detector

mlx-optiq.com
3 points·by codelion·上個月·0 comments

Zero-Dependency Programming

conjure.pages.dev
2 points·by codelion·3 個月前·0 comments

Scaling Pedagogical Pre-Training: From Optimal Mixing to 10B Tokens

huggingface.co
2 points·by codelion·4 個月前·0 comments

From HashHop to Memory-Augmented Language Models

huggingface.co
2 points·by codelion·5 個月前·0 comments

The Optimal Architecture for Small Language Models

huggingface.co
1 points·by codelion·7 個月前·0 comments

Enhancing LLMs with LoRA – Standardized Recipes for Capability Enhancement

huggingface.co
3 points·by codelion·7 個月前·0 comments

OpenEvolve: Teaching LLMs to Discover Algorithms Through Evolution

algorithmicsuperintelligence.ai
53 points·by codelion·7 個月前·9 comments

Ellora: Enhancing LLMs with LoRA Standardized Recipes for Capability Enhancement

huggingface.co
1 points·by codelion·7 個月前·0 comments

The 1B Token Challenge: Finding the Perfect Pre-Training Mix

huggingface.co
6 points·by codelion·8 個月前·0 comments

The 1B Token Challenge: Finding the Perfect Pre-Training Mix

huggingface.co
3 points·by codelion·8 個月前·0 comments

comments

codelion
·26 天前·discuss
Using qwen3.6 27b locally with Claude code, it works well for simple coding tasks
codelion
·27 天前·discuss
[flagged]
codelion
·2 個月前·discuss
You can consider using Frame for the SAST part - https://github.com/lambdasec/frame
codelion
·3 個月前·discuss
How does it compare to some of the newer mlx inference engines like optiq that support turboquantization - https://mlx-optiq.pages.dev/
codelion
·4 個月前·discuss
the key issue is the interpretation of "consent" when continued use is the only option. aree users truly consenting, or are they simply left with no alternative?
codelion
·8 個月前·discuss
When mammals hunt other mammals strange things can happen.
codelion
·10 個月前·discuss
Whom to believe? Devin or Claude? - https://www.anthropic.com/engineering/multi-agent-research-s...
codelion
·去年·discuss
Really interesting benchmark, thanks for sharing! It's good to see some real-world comparisons. The hallucinations issue is definitely a key concern with LLM-based OCR, and it's important to quantify that risk. Looking forward to seeing the full benchmark results.