What can LLMs do for optimization models?
In our most recent work, we have developed OptiChat, a chatbot for diagnosing infeasible optimization models using @OpenAI GPT led by my amazing PhD student Hao Chen and Postdoc Gonzalo Constante @gconstantef
We utilize few-shot learning, expert chain-of-thought, key-retrieve, and sentiment prompts to enhance OptiChat’s reliability. To know more about this work, please find the code and the paper below
🚨 Looking forward to attending #AIChE2022 as a faculty candidate! I am a postdoc at @argonne and received PhD from @MadVictorZ group. I develop algorithms and software for scalable decision-making for ✨decarbonized energy systems. More info: sunghoshin.com. Please RT!
I am looking to hire PhD students at Imperial @ICComputing @CogImperial for 2023! Projects include optimisation of machine learning surrogate models, and optimisation of hydrogen systems with @SSCP_DTP and @LKABgroup. Details at doc.ic.ac.uk/~ctsay/group/. Please spread the word!
Learn more about #PurdueChE's PhD program in virtual information sessions at 8 p.m. on Nov. 2 and Nov. 3. John Morgan (director of graduate students, professor) will speak, and faculty and student panels will take questions. RSVP by Monday, Oct. 31: bit.ly/3DHVrV8
Learn more about #PurdueChE's PhD program in virtual information sessions at 8 p.m. on Nov. 2 and Nov. 3. John Morgan (director of graduate students, professor) will speak, and faculty and student panels will take questions. RSVP by Monday, Oct. 31: bit.ly/3DHVrV8
We are recruiting talented candidates interested in optimization and machine learning for the Lilian Gilbreth Postdoctoral Fellowship @PurdueEngineers . We have two projects, one in collaboration with Mohit Tawarmalani and @69alodi. The other is with Andrew Liu from @PurdueIndEng