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Top New Best Ask Show Jobs

Top New Best Ask Show Jobs

751.

ARCHE3-7B – Sparse Moe with SmartRouter and Foundation Curriculum Training

1 point

OpenSynapseLabs

2 months ago

752.

Grove: Distributed ML Training Across MacBooks (github.com/swarnim-j)

1 point

2 months ago

753.

Show HN: Sigil – A zero-knowledge steganography vault for AI training data

1 point

2 months ago

754.

Rust Training (github.com/microsoft)

1 point

2 months ago

755.

Train the smallest LM you can that fits in 16MB. Best model wins (github.com/openai)

1 point

2 months ago

756.

Show HN: Mamba SSM in Rust – training and inference with custom CUDA kernels (github.com/silvermpx)

1 point

3 months ago

757.

Native Pytorch distributed training backend for Apple Silicon (github.com/mps-ddp)

1 point

3 months ago

758.

Physics-based validation for sensor data before ML training (github.com/timbo4u1)

1 point

3 months ago

759.

Show HN: ResonanceNet – Proof-of-Training Blockchain (github.com/Kristian5013)

1 point

3 months ago

760.

Ask HN: Should training bottleneck detection be a product or just a feature?

1 point

3 months ago

761.

Show HN: Quantum-PULSE – compress-then-encrypt vault for LLM training data (github.com/Naveenub)

1 point

3 months ago

762.

I trained an LLM from loss 11.47 to loss 2.35 on one TPU v5e for $1.16 (github.com/2001sameersharma)

1 point

3 months ago

763.

Show HN: I trained a small local model to translate natural language to CLI (github.com/spicy-lemonade)

1 point

3 months ago

764.

Show HN: easy-torch-tpu – A Flexible Training Pipeline for PyTorch Models on TPU (github.com/aklein4)

1 point

3 months ago

765.

SteptronOss: Lightweight, AI-native training framework for large language models (github.com/stepfun-ai)

1 point

3 months ago

766.

Show HN: Synthesize complex agent training data with just a few lines of code (github.com/OpenDCAI)

1 point

3 months ago

767.

Show HN: Train a 230KB text classifier from 50 examples – no API keys, no GPU (github.com/expressibleai)

1 point

3 months ago

768.

Show HN: MicroGPT-C – C99 GPT for Edge Training and Tiny Model Pipelines (github.com/enjector)

1 point

4 months ago

769.

Peon Training feature piggybacks on AI coding session (github.com/PeonPing)

1 point

4 months ago

770.

MicroGPT: train & inference in 243 lines of code (gist.github.com)

1 point

4 months ago

771.

MicroGPT - Train and inference a GPT in pure, dependency-free Python (200 lines) (gist.github.com)

1 point

4 months ago

772.

The Yellow Wallpaper Problem: RLHF Safety Training as Ontology Enforcement (github.com/Palmerschallon)

1 point

4 months ago

773.

Theseus - Train like a foundation lab (github.com/Jemoka)

1 point

4 months ago

774.

Strangerbench: A benchmark for AI forecasting after training cut-off dates (github.com/firasd)

1 point

4 months ago

775.

Train AI models in 3 clicks (github.com/belocci)

1 point

4 months ago

776.

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

1 point

4 months ago

777.

Kauldron: Modular, scalable library to train ML models (github.com/google-research)

1 point

4 months ago

778.

Zero Training One-Shot Neural Networks (github.com/117l11)

1 point

5 months ago

779.

Show HN: Train Core ML models from the command line (github.com/schappim)

1 point

5 months ago

780.

Contrakit: Predicting Model Hallucination Before Training (github.com/off-by-some)

1 point

5 months ago