The phospho team has been quoted in a research paper! A few months ago, during the San-Francisco Mistral AI hackathon, we built a new way to benchmark LLMs by having them compete in Street Fighter. We demonstrated that LLMs can play a video game like those typically solved by training NN policies through Reinforcement Learning. Two weeks ago, researchers from Germany explored using LLMs to tune particle accelerators and quoted our work (article attached to this post). They showcased that compared to the traditional RL strategies, using LLMs without specific training can produce encouraging results. This weekend, we are partners of the Mistral AI hackathon in Paris. What will you build? Congrats to Nicolas Oulianov, Pierre-Louis Biojout and Paul-Louis Venard from phospho and Stan Girard from Quivr (YC W24) for this achievement!
Nicolas Oulianov
3mo
The particle 🇪🇺 /acc-elerator
Have you seen that CEA ?
Samuel Akinwunmi
3mo
lfg!
Thanks Jan Kaiser (https://www.linkedin.com/in/jank324/) for quoting our work!