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Top New Best Ask Show Jobs

Top New Best Ask Show Jobs

1.

Context is essential for AI agents, but I think shared state is the next problem (github.com/Abloatai)

2 points

3 days ago

2.

Time Ablation Experiments on tau2-bench (github.com/sshh12)

3 points

5 months ago

3.

Show HN: Toolkit for LLM Fine-Tuning, Ablating and Testing (github.com/georgian-io)

14 points

2 years ago

4.

Show HN: Implementation and ablation of the Hierarchical Reasoning Model (HRM) (github.com/krychu)

2 points

9 months ago

5.

Show HN: Forge – Guardrails take an 8B model from 53% to 99% on agentic tasks (github.com/antoinezambelli)

687 points

16 days ago

6.

Show HN: I Created ErisForge, a Python Library for Abliteration of LLMs (github.com/Tsadoq)

140 points

a year ago

7.

Show HN: Desbordante 2.0 – A high-performance data profiler (github.com/Desbordante)

67 points

2 years ago

8.

Show HN: Chonky – a neural text semantic chunking goes multilingual (huggingface.co)

43 points

7 months ago

9.

Show HN: A tiny reasoning layer that steadies LLM outputs (MIT; +22.4% accuracy) (github.com/onestardao)

6 points

10 months ago

10.

HRNet; the most powerful new vision CNN architecture to come out since AlexNet!

3 points

7 years ago

11.

Show HN: I built a 2nd-order PyTorch optimizer for LLMs that runs on 16GB GPUs

2 points

a month ago

12.

Show HN: SoMatic – Vision-based OS automation framework for AI agents (github.com/Smyan1909)

2 points

14 days ago

13.

Show HN: FT-Lab – Lightweight TinyLlama Fine-Tuning (Full FT / LoRA / QLoRA) (github.com/REICHIYAN)

2 points

6 months ago

14.

MiRAGE: Open-source framework for multimodal RAG evaluation

1 point

4 months ago

15.

Show HN: WLM – A 70B model trained to decode "I'm fine" with 94.7% accuracy (github.com/gabewillen)

1 point

4 months ago

16.

Show HN: FT-Lab – Lightweight TinyLlama Fine-Tuning (Full FT / LoRA / QLoRA) (github.com/REICHIYAN)

1 point

6 months ago

17.

New QA system released open source with reviews (github.com/bernhard2202)

2 points

7 years ago