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MJannik

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posted an update 1 day ago
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Hi everyone, we’ve got big news! Starting today, all Langfuse product features are available as free OSS (MIT license).

You can now upgrade your self-hosted Langfuse to access features like:
- Managed LLM-as-a-Judge evaluations
- Annotation queues
- Prompt experiments
- LLM playground

We’re incredibly grateful for the support of this amazing community and can’t wait to hear your feedback on the new features!

More on this change here: https://langfuse.com/blog/2025-06-04-open-sourcing-langfuse-product
upvoted an article about 2 months ago
reacted to davidberenstein1957's post with ❤️ 2 months ago
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🚨 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!
New activity in agents-course/notebooks 2 months ago
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Hi @shahules786 , yes the integration should work with all model gateways. Which with gateway & model do you have an issue with?

published an article 3 months ago
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🪢 Langfuse and 🤗 Hugging Face: 5 Ways to use them Together

By MJannik
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posted an update 3 months ago
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I've published an article showing five ways to use 🪢 Langfuse with 🤗 Hugging Face.

My personal favorite is Method #4: Using Hugging Face Datasets for Langfuse Dataset Experiments. This lets you benchmark your LLM app or AI agent with a dataset hosted on Hugging Face. In this example, I chose the GSM8K dataset ( openai/gsm8k) to test the mathematical reasoning capabilities of my smolagent :)

Link to the Article here on HF: https://huggingface.co/blog/MJannik/hugging-face-and-langfuse
reacted to Kseniase's post with 👍 3 months ago
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8 Free Sources about AI Agents:

Agents seem to be everywhere and this collection is for a deep dive into the theory and practice:

1. "Agents" Google's whitepaper by Julia Wiesinger, Patrick Marlow and Vladimir Vuskovic -> https://www.kaggle.com/whitepaper-agents
Covers agents, their functions, tool use and how they differ from models

2. "Agents in the Long Game of AI. Computational Cognitive Modeling for Trustworthy, Hybrid AI" book by Marjorie McShane, Sergei Nirenburg, and Jesse English -> https://direct.mit.edu/books/oa-monograph/5833/Agents-in-the-Long-Game-of-AIComputational
Explores building AI agents, using Hybrid AI, that combines ML with knowledge-based reasoning

3. "AI Engineer Summit 2025: Agent Engineering" 8-hour video -> https://www.youtube.com/watch?v=D7BzTxVVMuw
Experts' talks that share insights on the freshest Agent Engineering advancements, such as Google Deep Research, scaling tips and more

4. AI Agents Course from Hugging Face -> https://huggingface.co/learn/agents-course/en/unit0/introduction
Agents' theory and practice to learn how to build them using top libraries and tools

5. "Artificial Intelligence: Foundations of Computational Agents", 3rd Edition, book by David L. Poole and Alan K. Mackworth -> https://artint.info/3e/html/ArtInt3e.html
Agents' architectures, how they learn, reason, plan and act with certainty and uncertainty

6. "Intelligent Agents: Theory and Practice" book by Michael Wooldridge -> https://www.cs.ox.ac.uk/people/michael.wooldridge/pubs/ker95/ker95-html.html
A fascinating option to dive into how agents were seen in 1995 and explore their theory, architectures and agent languages

7. The Turing Post articles "AI Agents and Agentic Workflows" on Hugging Face -> @Kseniase
We explore agentic workflows in detail and agents' building blocks, such as memory and knowledge

8. Our collection "8 Free Sources to Master Building AI Agents" -> https://www.turingpost.com/p/building-ai-agents-sources
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upvoted an article 3 months ago
upvoted an article 4 months ago
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Open-source DeepResearch – Freeing our search agents

By m-ric and 4 others
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