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UC Berkeley – Rethinking the Role of PPO in RLHF
Rethinking the Role of PPO in RLHF TL;DR: In RLHF, there’s tension between the reward learning phase, which uses human preference in the form of comparisons, and the RL fine-tuning phase, which optimizes a single, non-comparative reward. What if we performed RL in a comparative way? Figure 1: This diagram illustrates the difference between reinforcement…
Latest from Google AI – Training Generalist Agents with Multi-Game Decision Transformers
Posted by Winnie Xu, Student Researcher and Kuang-Huei Lee, Software Engineer, Google Research, Brain Team Current deep reinforcement learning (RL) methods can train specialist artificial agents that excel at decision-making on various individual tasks in specific environments, such as Go or StarCraft. However, little progress has been made to extend these results to generalist agents…
Latest from MIT Tech Review – Now you can chat with ChatGPT using your voice
In one of the biggest updates to ChatGPT yet, OpenAI has launched two new ways to interact with its viral app. First, ChatGPT now has a voice. Choose from one of five lifelike synthetic voices and you can have a conversation with the chatbot as if you were making a call, getting responses to your…
Latest from MIT : 2021-22 Takeda Fellows: Leaning on AI to advance medicine for humans
In fall 2020, MIT’s School of Engineering and Takeda Pharmaceuticals Company Limited launched the MIT-Takeda Program, a collaboration to support members of the MIT community working at the intersection of artificial intelligence and human health. Housed at the Abdul Latif Jameel Clinic for Machine Learning in Health, the collaboration aims to use artificial intelligence to…
Latest from Google AI – 4D-Net: Learning Multi-Modal Alignment for 3D and Image Inputs in Time
Posted by AJ Piergiovanni and Anelia Angelova, Research Scientists, Google Research While not immediately obvious, all of us experience the world in four dimensions (4D). For example, when walking or driving down the street we observe a stream of visual inputs, snapshots of the 3D world, which, when taken together in time, creates a 4D…
Latest from MIT : The creative future of generative AI
Few technologies have shown as much potential to shape our future as artificial intelligence. Specialists in fields ranging from medicine to microfinance to the military are evaluating AI tools, exploring how these might transform their work and worlds. For creative professionals, AI poses a unique set of challenges and opportunities — particularly generative AI, the…