Post
5639
who's working on an NVFP4 version of Kimi-K3?
- 4 replies
Giskard
company
Verified
AI & ML interests
LLM, Agents, Evaluation, Evals, AI Quality, AI Security, Red-teaming
kevin-giskard
updated a
dataset 3 months ago
kevin-giskard
published a
dataset 3 months ago
kevin-giskard
updated a
dataset 3 months ago
kevin-giskard
published 2
datasets 3 months ago
pierlj
updated a
dataset 5 months ago
weixuan-giskard
updated a
dataset 5 months ago
pierlj
published a
dataset 5 months ago
julien-c
submitted a
paper to Daily Papers 8 months ago
davidberenstein1957
posted an update 10 months ago
Post
2936
🚨 Phare LLM benchmark V2: Reasoning models don't guarantee better security
Read the full blog here: https://huggingface.co/blog/davidberenstein1957/phare-llm-benchmark-v2
Read the full blog here: https://huggingface.co/blog/davidberenstein1957/phare-llm-benchmark-v2
pierlj
updated a
dataset 10 months ago
alexcombessie
updated a
Space about 1 year ago
davidberenstein1957
posted an update about 1 year ago
Post
644
Announcing RealPerformance, a dataset of functional issues of language models that mirrors failure patterns identified through rigorous testing in real LLM agents
https://huggingface.co/blog/davidberenstein1957/realperformance-llm-business-compliance
https://huggingface.co/blog/davidberenstein1957/realperformance-llm-business-compliance
Update README.md
1
#3 opened about 1 year ago
by 
davidberenstein1957
Update README.md
#2 opened about 1 year ago
by davidberenstein1957
Update README.md
#2 opened about 1 year ago
by davidberenstein1957
davidberenstein1957
posted an update about 1 year ago
Post
430
🚨 LLMs recognise bias but also reproduce harmful stereotypes: an analysis of bias in leading LLMs
I've written a new entry in our series on the Giskard, BPIFrance and Google Deepmind Phare benchmark(phare.giskard.ai).
This time it covers bias: https://huggingface.co/blog/davidberenstein1957/llms-recognise-bias-but-also-produce-stereotypes
Previous entry on hallucinations: https://huggingface.co/blog/davidberenstein1957/phare-analysis-of-hallucination-in-leading-llms
I've written a new entry in our series on the Giskard, BPIFrance and Google Deepmind Phare benchmark(phare.giskard.ai).
This time it covers bias: https://huggingface.co/blog/davidberenstein1957/llms-recognise-bias-but-also-produce-stereotypes
Previous entry on hallucinations: https://huggingface.co/blog/davidberenstein1957/phare-analysis-of-hallucination-in-leading-llms
- 1 reply
davidberenstein1957
updated a
dataset about 1 year ago