Shaping capabilities with token-level data filtering
Paper
β’
2601.21571
β’
Published
β’
8
Giskard
company
Verified
AI & ML interests
LLM, Agents, Quality, Security, Benchmarking
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julien-cΒ
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to Daily Papers
about 10 hours ago
davidberenstein1957Β
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about 2 months ago
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2507
π¨ 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
pierljΒ
updated
a
dataset
about 2 months ago
alexcombessieΒ
updated
a
Space
6 months ago
davidberenstein1957Β
posted
an
update
6 months ago
Post
609
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 7 months ago
by
davidberenstein1957
Update README.md
#2 opened 7 months ago
by
davidberenstein1957
Update README.md
#2 opened 7 months ago
by
davidberenstein1957
davidberenstein1957Β
posted
an
update
7 months ago
Post
404
π¨ 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
davidberenstein1957Β
updated
a
dataset
7 months ago
davidberenstein1957Β
published
a
dataset
7 months ago
davidberenstein1957Β
posted
an
update
8 months ago
Post
1766
I created a collection of FLUX.1 models but 4x faster
PrunaAI/flux1-but-4x-faster-66c0b7340836dd7a55e9c0ea
Add link to the paper
1
#5 opened 8 months ago
by
nielsr
The technical report link in the readme gives a 404
2
#2 opened 10 months ago
by
SDFASDGA
davidberenstein1957Β
posted
an
update
9 months ago
Post
1096
Good answers are not necessarily factual answers: an analysis of hallucination in leading LLMs
https://huggingface.co/blog/davidberenstein1957/phare-analysis-of-hallucination-in-leading-llms
https://huggingface.co/blog/davidberenstein1957/phare-analysis-of-hallucination-in-leading-llms
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#4 opened 9 months ago
by
pierlj
Post
9031
BOOOOM: Today I'm dropping TINY AGENTS
the 50 lines of code Agent in Javascript π₯
I spent the last few weeks working on this, so I hope you will like it.
I've been diving into MCP (Model Context Protocol) to understand what the hype was all about.
It is fairly simple, but still quite powerful: MCP is a standard API to expose sets of Tools that can be hooked to LLMs.
But while doing that, came my second realization:
Once you have a MCP Client, an Agent is literally just a while loop on top of it. π€―
β‘οΈ read it exclusively on the official HF blog: https://huggingface.co/blog/tiny-agents
the 50 lines of code Agent in Javascript π₯
I spent the last few weeks working on this, so I hope you will like it.
I've been diving into MCP (Model Context Protocol) to understand what the hype was all about.
It is fairly simple, but still quite powerful: MCP is a standard API to expose sets of Tools that can be hooked to LLMs.
But while doing that, came my second realization:
Once you have a MCP Client, an Agent is literally just a while loop on top of it. π€―
β‘οΈ read it exclusively on the official HF blog: https://huggingface.co/blog/tiny-agents
- 1 reply
davidberenstein1957Β
posted
an
update
9 months ago
Post
2274
π₯ Announcing FLUX-Juiced: The Fastest Image Generation Endpoint (2.6x faster)!
Optimisations are widely applied and can reduce inference time, but their impact on quality often remains unclear, so we decided to challenge the status quo and create our own optimised version of FLUX.1[dev] called FLUX-juiced.
Blog: https://huggingface.co/blog/PrunaAI/flux-fastest-image-generation-endpoint
Optimisations are widely applied and can reduce inference time, but their impact on quality often remains unclear, so we decided to challenge the status quo and create our own optimised version of FLUX.1[dev] called FLUX-juiced.
Blog: https://huggingface.co/blog/PrunaAI/flux-fastest-image-generation-endpoint
davidberenstein1957Β
posted
an
update
10 months ago
Post
1742
π§βπ« I wrote a brief blogpost to give An Introduction to AI Model Optimization Techniques!
URL: https://huggingface.co/blog/PrunaAI/introduction-to-ai-model-optimization-techniques
URL: https://huggingface.co/blog/PrunaAI/introduction-to-ai-model-optimization-techniques