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Introducing Orca-Math, our Mistral-7B offshoot excelling in math word problems! 🧮🐳 - Impressive 86.81% score on GSM8k - Surpasses models 10x larger or with 10x more training data - No code, verifiers, or ensembling tricks needed

For learning about task decomposition + #AutoGen, also see: microsoft.github.io/autogen/docs/t…

After receiving a lot of help, and meeting the Maltese ambassador 😉 I am heading to #EACL, excited to share our work on interactive agents! Looking forward to catching up with old and new friends. DM me for a chat about anything, including AutoGen arxiv.org/abs/2304.10750

Stop by our poster eaclmeeting on "Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness". #EACL2024

Come stop by our poster eaclmeeting #EACL2024

Really nice poster on retrieving the cause of questions in the educational domain; I can see how it can improve lecture preparation and more #EACL2024 #eacl

Excited to dive into Interactive Grounded Language Understanding? 🚀 Seeking to develop agents adept at natural dialogue, assisting in real-world tasks. Key: knowing when to ask for feedback and learning. Check out datasets to get started: github.com/microsoft/iglu… #EACL2024 #EACL

Yet another cool idea and great poster design! #EACL2024

Checkout this new research on AI agents enabled by #AutoGen!

It was great to present our work done on top of iglu-contest @ NeurIPS dataset at #EACL2024! Kudos goes to Nikhil Mehta for all the hard work! Great audience and a lot of nice discussions! Amazing organisation! Hope to see you all soon again!

#ClariQ competition co-organized at #SCAI2020 was an original inspiration for IGLU 😉 Collected dataset is still widely used! Everything has its purpose and place in the timeline✨ aclanthology.org/2021.emnlp-mai… convai.io w/Mohammad Aliannejadi Aleksandr Chuklin Jeff Dalton Mikhail Burtsev

🎉 Exciting event alert! 🎉 Join us to discover the real-world applications of #AutoGen and how it's shaping the future! Don't miss out - mark your calendars! #innovation

StateFlow is recently integrated into AutoGen . It already helped some users achieving both higher quality and lower cost with their multi-agent system. Kudos to Yiran Wu Tianwei Yue Shaokun Zhang Qingyun Wu for the timely research and fast integration.

New use case of AutoGen in blockchain:

Latest research work by my colleague Tobias Schnabel: Supercharging Prompt Engineering via Symbolic Program Search. 🚀 Exciting stuff!!! towardsdatascience.com/supercharging-…

Do you remember when you joined X? I do! #MyXAnniversary

🌟Excited about #LLMs in search, recommendations, and much more? Join us at LLM Day ACM SIGIR on July 16 in Washington, DC! We have prepared an exciting program for you! #SIGIR2024 📅 Schedule & Highlights: 1️⃣ 09:00 - 10:00 Keynote by Thorsten Joachims (Cornell University) 2️⃣

Had an amazing time discussing #AutoGen and #AgentEval at the Bosch Center for Artificial Intelligence (BCAI) Bosch Center for Artificial Intelligence! 🚀Thanks to everyone who participated linkedin.com/feed/update/ur… #GenAI #Innovation #Community #research #AI Qingyun Wu Chi Wang AutoGen

Join us for another SIGIR Lean and Learn series on LLM-based Applications with "AutoGen: A Programming Framework for Agentic AI". P.s : I was honoured to work on AgentEval as part of Autogen as of my internship project Microsoft Research. bit.ly/4eieaXz #LLMs #SIGIR2024 #LLM

🚀 Thrilled to see the #IGLU dataset showcasing the incredible potential of #LLMs in the dynamic world of Minecraft! 🌍 🏆🔍 #AI #MachineLearning #GamingInnovation #MinecraftAI arxiv.org/abs/2402.08392