neptune_ai - Invidious

neptune_ai

Experiment tracker purpose-built for foundation model training.

Monitor thousands of per-layer metrics—losses, gradients, and activations—at any scale. Visualize them with no lag and no missed spikes. Drill down into logs and debug training issues fast. Keep your model training stable while reducing wasted GPU cycles.

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1:16

Growing AI Research Team at DeepL

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Shared 3 days ago

10 views

3:12

NeurIPS 2024: Impossible GenAI Questions With Christianah Oyewale

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Shared 4 days ago

7 views

3:08

NeurIPS 2024: Impossible GenAI Questions With Finn Schmidt

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Shared 5 days ago

15 views

4:05

Minimising Outlier Features in Neural Network Training

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Shared 6 days ago

9 views

4:47

Lessons From LLM Training: Insights From Genentech

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Shared 1 week ago

23 views

2:35

NeurIPS 2024: Impossible GenAI Questions With Yinan Wang

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Shared 1 week ago

40 views

4:43

NeurIPS 2024: Impossible GenAI Questions With Rulin Shao

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Shared 1 week ago

42 views

2:24

SUGARCREPE++ Dataset: Evaluating Vision-Language Model Sensitivity

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Shared 1 week ago

79 views

2:27

Lessons from the Frontlines of Foundation Model Training

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Shared 2 weeks ago

23 views

3:33

CPU-Only LLM Architectures: Are We There Yet?

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Shared 2 weeks ago

125 views

2:43

NeurIPS 2024: Impossible GenAI Questions With Ashkan Mirzaei

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Shared 2 weeks ago

29 views

2:32

Towards Calibrated Robust Fine-Tuning of Vision-Language Models

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Shared 2 weeks ago

19 views

1:24

UQ-Guided Hyperparameter Optimization for Iterative Learners

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Shared 3 weeks ago

24 views

1:56

LLM Training Infrastructure: Scaling Up vs. New Architectures

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Shared 3 weeks ago

92 views

4:17

How is LLM Fine-Tuning Making Big Money?

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Shared 3 weeks ago

91 views

4:07

NeurIPS 2024: Impossible GenAI Questions With Borna Barahimi

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Shared 3 weeks ago

89 views

5:25

UniTox: Automating Drug Toxicity Detection

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Shared 3 weeks ago

9 views

3:27

Memory-Efficient LLM Training and Fine-Tuning via Gradient Subspace Tracking

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Shared 4 weeks ago

38 views

3:44

Monitoring and Debugging When Training LLMs

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Shared 1 month ago

41 views

3:48

Secret Transformers: Could They Be Reverse-Engineered?

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Shared 1 month ago

226 views

1:54

NeurIPS 2024: Impossible GenAI Questions With Yash Semlani

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Shared 1 month ago

29 views

2:40

ConStat: Performance-Based Contamination Detection in LLMs

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Shared 1 month ago

72 views

2:35

Fine-Grained Complexity of Gradient Computation for Training LLMs

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Shared 1 month ago

43 views

2:49

Optimizing LLM Compute Resources Based on Task Complexity

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Shared 1 month ago

23 views

3:11

How Did DeepSeek R1 Achieve Massive Training Cost Reductions?

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Shared 1 month ago

36 views

4:36

NeurIPS 2024: Impossible GenAI Questions With Xiaowen Zhang

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Shared 1 month ago

25 views

3:40

Deconstructing What Makes a Good Optimizer for Language Models

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Shared 1 month ago

76 views

3:32

Evaluating Language Models as Risk Scores

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Shared 1 month ago

128 views

5:34

Dealing With Infrastructure and GPU Challenges

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Shared 1 month ago

18 views

5:20

NeurIPS 2024: Impossible GenAI Questions With Zirui Wang

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Shared 1 month ago

83 views

2:21

NeurIPS 2024: Impossible GenAI Questions With Tristan Engst

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Shared 1 month ago

112 views

3:13

CoVoMix: Multi-Speaker Dialogue Generation

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Shared 1 month ago

46 views

3:57

Observational Scaling Laws and Predictability of Language Model Performance

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Shared 1 month ago

49 views

4:08

Lessons Learned From LLM Training

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Shared 1 month ago

81 views

2:53

NeurIPS 2024: Impossible GenAI Questions With Pratik Kunapuli

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Shared 1 month ago

168 views

2:07

NeurIPS 2024: Impossible GenAI Questions With Sri Harsha Dumpala

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Shared 1 month ago

246 views

6:07

Attack Atlas: Challenges and Pitfalls in Red Teaming GenAI

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Shared 1 month ago

92 views

5:16

Optimizing Small Language Models for In-Vehicle Function-Calling

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Shared 1 month ago

157 views

2:10

Challenges in Training Biomedical LLMs

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Shared 2 months ago

33 views

3:54

NeurIPS 2024: Impossible GenAI Questions With Lukas Klein

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Shared 2 months ago

69 views

2:35

NeurIPS 2024: Impossible GenAI Questions With Amaury Gouverneur

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Shared 2 months ago

50 views

2:23

JailbreakBench: An Open Robustness Benchmark for Jailbreaking LLMs

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Shared 2 months ago

108 views

30:59

Learnings From Teams Training Large-Scale Models: Monitoring at Hyperscale

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Shared 2 months ago

179 views

2:06

Scaling the LLM Training Infrastructure

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Shared 2 months ago

81 views

2:35

NeurIPS 2024: Impossible GenAI Questions With Francesco Cagnetta

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Shared 2 months ago

60 views

2:52

NeurIPS 2024: Impossible GenAI Questions With Akshatha Arodi

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Shared 2 months ago

44 views

4:20

Why We're Building Foundation Models at Genentech

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Shared 2 months ago

38 views

4:39

NeurIPS 2024: Impossible GenAI Questions With Arna Ghosh

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Shared 2 months ago

63 views

4:23

NeurIPS 2024: Impossible GenAI Questions With Sepehr Elahi

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Shared 2 months ago

130 views

2:42

LLM Training and Evaluation

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Shared 2 months ago

56 views

4:22

NeurIPS 2024: Impossible GenAI Questions With Ben Finkelshtein

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Shared 2 months ago

84 views

3:18

NeurIPS 2024: Impossible GenAI Questions With Shreyash Arya

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Shared 2 months ago

155 views

1:12

Foundation Models: Built on the MLOps Lifecycle

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Shared 2 months ago

27 views

1:29

Data Preparation at Cleareye.ai

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Shared 2 months ago

55 views

12:09

AI Research Paper Overview: Spectral Graph Pruning Against Over-Squashing and Over-Smoothing

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Shared 3 months ago

378 views

1:58

The experiment tracker for foundation model training – neptune.ai

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Shared 3 months ago

2.3K views

3:19

Open-Source, Closed-Source, and Custom LLMs

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Shared 3 months ago

66 views

9:21

Voices in AI: Alaa Youssef (Postdoctoral Researcher at Stanford AIMI)

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Shared 3 months ago

230 views

6:03

Voices in AI: Alex Yeh (Founder and CEO of GMI Cloud)

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Shared 3 months ago

227 views

5:44

Voices in AI: Dean Wampler (Head of Technology at IBM)

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Shared 4 months ago

143 views