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

Recent Activity

pierlj  updated a dataset 3 days ago
giskardai/phare
pierlj  new activity 6 days ago
giskardai/phare:Parquet Upload
pierlj  authored a paper 23 days ago
RealHarm: A Collection of Real-World Language Model Application Failures
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giskardai's activity

davidberenstein1957 
posted an update 1 day ago
pierlj 
updated a dataset 3 days ago
pierlj 
in giskardai/phare 6 days ago

Parquet Upload
#4 opened 6 days ago by
pierlj
julien-c 
posted an update 13 days ago
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Post
4026
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
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davidberenstein1957 
posted an update 16 days ago
davidberenstein1957 
posted an update 21 days ago
davidberenstein1957 
posted an update 23 days ago
view post
Post
1382
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 23 days ago
davidberenstein1957 
updated a dataset 23 days ago
pierlj 
updated a dataset 24 days ago
pierlj 
published a dataset 24 days ago
davidberenstein1957 
updated a Space 24 days ago
davidberenstein1957 
published a Space 24 days ago
pierlj 
in giskardai/phare about 1 month ago

The technical report link in the readme gives a 404

1
#2 opened about 1 month ago by
SDFASDGA
davidberenstein1957 
posted an update about 1 month ago
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Post
2090
🚨 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 about 2 months ago
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Post
3749
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.
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davidberenstein1957 
posted an update 2 months ago
davidberenstein1957 
posted an update 2 months ago
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Post
4247
🥊 Epic Agent Framework Showdown! Available today!

🔵 In the blue corner, the versatile challenger with a proven track record of knowledge retrieval: LlamaIndex!

🛑 In the red corner, the defender, weighing in with lightweight efficiency: Hugging Face smolagents!

🔗 URL: agents-course

We just published the LlamaIndex unit for the agents course, and it is set to offer a great contrast between the smolagents unit by looking at

- What makes llama-index stand-out
- How the LlamaHub is used for integrations
- Creating QueryEngine components
- Using agents and tools
- Agentic and multi-agent workflows

The team has been working flat-out on this for a few weeks. Supported by Logan Markewich and Laurie Voss over at LlamaIndex.

Who won? You decide!
davidberenstein1957 
posted an update 2 months ago
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Post
3042
🫸 New release to push vector search to the Hub with vicinity and work with any serialisable objects.

🧑‍🏫 KNN, HNSW, USEARCH, ANNOY, PYNNDESCENT, FAISS, and VOYAGER.

🔗 Example Repo: minishlab/my-vicinity-repo
davidberenstein1957 
posted an update 3 months ago
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Post
3311
🚀 Find banger tools for your smolagents!

I created the Tools gallery, which makes tools specifically developed by/for smolagents searchable and visible. This will help with:
- inspiration
- best practices
- finding cool tools

Space: davidberenstein1957/smolagents-and-tools
  • 1 reply
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