Hugging Face's logo

Giskard
company
Verified
https://giskard.ai
giskard_ai
Giskard-AI
Activity Feed

AI & ML interests

LLM Agents, Quality, Security, Compliance, Responsible AI, Open Source

Recent Activity

davidberenstein1957  new activity 11 days ago
giskardai/realperformance:Update README.md
mattbit  new activity 15 days ago
giskardai/realperformance:Update README.md
davidberenstein1957  new activity 15 days ago
giskardai/realperformance:Update README.md
View all activity

davidberenstein1957 
posted an update 11 days ago
davidberenstein1957 
in giskardai/realperformance 11 days ago

Update README.md

1
#3 opened 15 days ago by
davidberenstein1957
mattbit 
in giskardai/realperformance 15 days ago

Update README.md
#2 opened 15 days ago by
davidberenstein1957
davidberenstein1957 
in giskardai/realperformance 15 days ago

Update README.md
#2 opened 15 days ago by
davidberenstein1957
davidberenstein1957 
posted an update 29 days ago
view post
Post
357
🚨 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
  • 1 reply
·
davidberenstein1957 
updated a dataset about 1 month ago
davidberenstein1957 
published a dataset about 1 month ago
davidberenstein1957 
posted an update about 2 months ago
mattbit 
in giskardai/phare about 2 months ago

Add link to the paper

1
#5 opened 2 months ago by
nielsr

The technical report link in the readme gives a 404

2
#2 opened 4 months ago by
SDFASDGA
pierlj 
updated a dataset 2 months ago
davidberenstein1957 
posted an update 3 months ago
julien-c 
posted an update 3 months ago
view post
Post
6067
BOOOOM: Today I'm dropping TINY AGENTS

the 50 lines of code Agent in Javascript 🔥

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. 🤯

➡️ read it exclusively on the official HF blog: https://huggingface.co/blog/tiny-agents
  • 1 reply
·
davidberenstein1957 
posted an update 3 months ago
view post
Post
2228
🔥 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
davidberenstein1957 
posted an update 4 months ago
davidberenstein1957 
posted an update 4 months ago
view post
Post
1398
RealHarm: A Collection of Real-World Language Model Application Failure

I'm David from Giskard, and we work on securing your Agents.
Today, we are launching RealHarm: a dataset of real-world problematic interactions with AI agents, drawn from publicly reported incidents.

Check out the dataset and paper: https://realharm.giskard.ai/
pierlj 
authored a paper 4 months ago
davidberenstein1957 
posted an update 4 months ago
view post
Post
2102
🚨 New Bonus Unit: Tracing & Evaluating Your Agent! 🚨

Learn how to transform your agent from a simple demo into a robust, reliable product ready for real users.

UNIT: https://huggingface.co/learn/agents-course/bonus-unit2/introduction

In this unit, you'll learn:
- Offline Evaluation – Benchmark and iterate your agent using datasets.
- Online Evaluation – Continuously track key metrics such as latency, costs, and user feedback.

Happy testing and improving!

Thanks Langfuse team!
julien-c 
posted an update 5 months ago
view post
Post
4060
Important notice 🚨

For Inference Providers who have built support for our Billing API (currently: Fal, Novita, HF-Inference – with more coming soon), we've started enabling Pay as you go (=PAYG)

What this means is that you can use those Inference Providers beyond the free included credits, and they're charged to your HF account.

You can see it on this view: any provider that does not have a "Billing disabled" badge, is PAYG-compatible.
·
davidberenstein1957 
posted an update 5 months ago