When we started building a safety-focused LLM for healthcare a year back, a result like this was beyond imagination. We are excited to share some of the technical and a lot of the clinical considerations that went into building #Polaris in our 53-page technical report available

[LG] ORION: Teaching Language Models to Reason Efficiently in the Language of Thought K Tanmay, K Aggarwal, P P Liang, S Mukherjee [Harvard University & Hippocratic AI & MIT] (2025) https://t.co/b1biuRyS6v

The last few months have been a real rollercoaster ride as we see incredible commercial traction and customer validation of our efforts to leverage generative AI to bring healthcare abundance to all. @hippocraticai

We are excited to announce $141 million series B financing round bringing @hippocraticai valuation to $1.64 billion. Round was led by @kleinerperkins, with backing from existing investors incl @generalcatalyst, @a16z, @nvidia, @nvidia, @premjiinvest, @svangel, UHS and @WellSpan.

We hosted our annual AI Pioneers Summit this week to celebrate the technical leaders at the forefront of deploying AI and LLMs in production today! 🚀 Over 170 notable product and engineering execs from 136 companies gathered to celebrate this year’s award winners: ***Expanding

We are super excited to have @subho_mpi, Chief Scientific Officer & Co-founder at @hippocraticai to join us next Tuesday! He will share how to build a safety-focused healthcare AI agent focusing on non-diagnostic patient-facing use-case!

Hippocratic is Augmenting Repetitive Healthcare Tasks with AI

We are truly excited to find @EricTopol summarizing #Polaris in his report. Read about our LLM constellation work for real-time patient-AI voice conversations in https://t.co/7s6O129QKi Preprint: https://t.co/lD85nHynJ5 #GenerativeAI #healthcare @hippocraticai

Echoing the sentiment from the blurb put out by Fortune: "One thing we know for sure: The work these companies are doing won’t just shape the future of AI, it will shape the world we all live in."

With our safety-first LLM, we are looking to fill existing health care staffing gaps ("superstaffing") and enable interventions by decreasing the cost of non-diagnostic services.

We are honored and humbled to be featured in @FortuneMagazine 50 #AI Innovators 2023 list! I am incredibly proud of what my team is building at the forefront of #generativeai and #healthcare. https://t.co/x0iD9Eb5y4

SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference Obtains 2-5x inference speedups with negligible regression across a variety of tasks https://t.co/yVNLNzXaYB

Source: Conversation with Bing Chat about Orca - 6/23/2023   We asked Bing about our recent language model Orca, what makes its learning process unique and the promises it holds for the future. This is its response (references in… https://t.co/jx42izbGFz

Bothered by the expensive runs on Auto-GPT and LangChain agents? Check out our recent work, ReWOO, that eliminates token redundancy in prevailing 'thought-action-observation' paradigm, achieving better task completion with 5x less token usage at inference. #LLMs #AIGA #NLP

Do you want to make your transformers more efficient? Check out @subho_mpi talk on ‘AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers’: https://t.co/WpUrqjvHSX Don’t forget to subscribe!

We kick-off the near year with a talk by @subho_mpi about ‘AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers’ on Thursday. Note that, this time the AutoML seminar will be at 6pm CET / 9am PDT. More details at

We are hiring research interns to work in Efficient Large-scale AI at Microsoft Research for summer 2023! Looking for candidates interested in building adaptive, modular and efficient NLU/NLG models at scale. The internship will be… https://t.co/rCOGKHmVHn

AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers abs: https://t.co/Kc7D9YoWz0

Starting a new position as Principal Researcher at Microsoft Research (MSR) at Microsoft!

We (@BeEngelhardt, @NailaMurray and I) are proud to announce the creation of a Journal-to-Conference track, in collaboration with JMLR and conferences NeurIPS 2022, ICLR 2023 and ICML 2023! https://t.co/DYcKRBDOw1 https://t.co/Er3jLzPXf4 https://t.co/DMfKbMukpd