Interview with a squirrel
Google’s large language model, LaMDA, has recently been making headlines after a Google engineer (now on administrative leave), claimed to be swayed by an interview in which GPT-3 described the experience of being conscious. Almost everyone else who has used these large text-generating AIs, myself included, is entirely unconvinced. Why? Because these large language models …
Bonus: More GPT-3 interviews
AI versus corporate logos
I recently started playing with DALL-E 2, which will attempt to generate an image to go with whatever text prompt you give it. Like its predecessor DALL-E, it uses CLIP, which OpenAI trained on a huge collection of internet images and nearby text. I’ve experimented with a few methods based on CLIP, but DALL-E generates …
Bonus: More AI-generated logos
AI-generated donuts
If you’re going to open a late-night donut shop, you’re going to need a unique set of over-the-top donuts to set the proper festive atmosphere. But how to keep the ideas coming? I decided to see what donut ideas I could get using OpenAI’s GPT-3 text-generating models. I collected seven of the weirdest donuts and …
High-Definition Segmentation in Google Meet
Posted by Tingbo Hou and Juhyun Lee, Software Engineers, Google In recent years video conferencing has played an increasingly important role in both work and personal communication for many users. Over the past two years, we have enhanced this experience in Google Meet by introducing privacy-preserving machine learning (ML) powered background features, also known as …
Using ML to Boost Engagement with a Maternal and Child Health Program in India
Posted by Aparna Taneja, Software Engineer, and Milind Tambe, Principal Scientist, Google Research, India Research Lab The widespread availability of mobile phones has enabled non-profits to deliver critical health information to their beneficiaries in a timely manner. While advanced applications on smartphones allow for richer multimedia content and two-way communication between beneficiaries and health coaches, …
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UVQ: Measuring YouTube’s Perceptual Video Quality
Posted by Yilin Wang, Staff Software Engineer, YouTube and Feng Yang, Senior Staff Software Engineer, Google Research Online video sharing platforms, like YouTube, need to understand perceptual video quality (i.e., a user’s subjective perception of video quality) in order to better optimize and improve user experience. Video quality assessment (VQA) attempts to build a bridge …
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OptFormer: Towards Universal Hyperparameter Optimization with Transformers
Posted by Yutian Chen, Staff Research Scientist, DeepMind, and Xingyou (Richard) Song, Research Scientist, Google Research, Brain Team One of the most important aspects in machine learning is hyperparameter optimization, as finding the right hyperparameters for a machine learning task can make or break a model’s performance. Internally, we regularly use Google Vizier as the …
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