ontocord/atomic_2020
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Ontocord.AI
AI & ML interests
We dedicate ourselves to bringing lawful and effective data to AI training so that everyone can benefit from human knowledge. Our focus is data-centric ML focused on performance and legal compliance, pre-training and safety for large multimodal foundation models.
Recent Activity
ontocord's activity
huu-ontocordÂ
updated
a
dataset
about 15 hours ago
huu-ontocordÂ
published
a
dataset
about 16 hours ago
huu-ontocordÂ
updated
a
model
11 days ago
huu-ontocordÂ
published
a
model
11 days ago
huu-ontocordÂ
updated
a
model
11 days ago
huu-ontocordÂ
published
a
model
11 days ago
huu-ontocordÂ
updated
2
models
13 days ago
huu-ontocordÂ
published
a
model
13 days ago
Harsh1729Â
updated
a
model
15 days ago
Harsh1729Â
published
a
model
15 days ago
Taishi-N324Â
authored
3
papers
15 days ago
Balancing Speed and Stability: The Trade-offs of FP8 vs. BF16 Training in LLMs
Paper
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2411.08719
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Published
Why We Build Local Large Language Models: An Observational Analysis from 35 Japanese and Multilingual LLMs
Paper
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2412.14471
•
Published
Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search
Paper
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2503.04412
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Published
•
1
Harsh1729Â
updated
a
model
16 days ago
huu-ontocordÂ
authored
3
papers
20 days ago
RedPajama: an Open Dataset for Training Large Language Models
Paper
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2411.12372
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Published
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53
LLMs Lost in Translation: M-ALERT uncovers Cross-Linguistic Safety Gaps
Paper
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2412.15035
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Published
•
4
Project Alexandria: Towards Freeing Scientific Knowledge from Copyright Burdens via LLMs
Paper
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2502.19413
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Published
•
19
Taishi-N324Â
authored
a
paper
23 days ago
PSaimlÂ
authored
a
paper
about 2 months ago