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Clemens

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https://langfuse.com

AI & ML interests

LLM Observability & LLMOps

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reacted to MJannik's post with 😎 about 2 months ago
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
reacted to MJannik's post with 🤝 about 2 months ago
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
reacted to Kseniase's post with 👍 5 months ago
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 -> https://huggingface.co/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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