Aravind Srinivas is an Indian-American computer scientist, researcher, and programmer who is one of the founders of Perplexity AI. Before this, he interned at some of the finest AI institutions in North America.
Srinivas earned his Master’s in Engineering from the Indian Institute of Technology, Madras, in 2017. Over this time, he researched transfer learning, reinforcement learning (RL), and dynamic action repeats for hierarchical RL.
Four years later, in August 2021, Srinivas earned a Ph.D. in Computer Science from the University of California, Berkeley. In addition to RL, he concentrated on contrastive learning for computer vision, image recognition, video generation, and transformers for image generation.
Between 2019 and 2022, Srinivas worked as a research intern at various companies:
- OpenAI – in mid-2018 for a period of four months, Srinivas worked on solving RL problems with policy gradient algorithms.
- DeepMind – Srinivas then traveled to London in mid-2019 where he interned at DeepMind for around five months. There, he worked on large-scale contrastive learning.
- Google – he then returned to the United States and worked at Google for a twelve-month stint between May 2020 and April 2021. He was involved with the self-attention-based model HaloNet and SOTA vision models such as ResNet-RS.
Srinivas returned to OpenAI in September 2021 as a research scientist where he worked on language and diffusion generative models.
While the specifics of his role at OpenAI are unclear, Srinivas did post several images to Twitter from the company’s DALL-E 2 text-to-image generator. In one post on April 13, 2022, the prompt “a robot attempting to learn a new language” results in the near hand-drawn image of a droid writing random characters on a whiteboard.
Other images released by colleague Aditya Ramesh show time-lapse videos of DALL-E 2 as it is guided by language and transforms images into artistic renditions. The reimagining of the image of a cat into a samurai master is particularly impressive.
According to his LinkedIn profile, Srinivas left OpenAI in August 2022 and started Perplexity AI that same month. The company’s core product is an AI chat-based search engine that uses advanced artificial intelligence such as GPT-3 to answer user queries.
Srinivas co-founded Perplexity AI with Denis Yarats, a former Facebook AI research scientist and ML engineer at Quora, and Andy Konwinski, the co-founder of DataBricks.
In an episode of the No Priors podcast with Elad Gil about how search engines will become answer engines, Srinivas explained the rather circuitous route the three took to starting the company.
Based on the belief that the only way to beat Google was search based on camera pixels, Srinivas initially wanted Perplexity AI to be a visual search engine. But he quickly realized that it would not be possible because search was as much a distribution game as it was technological.
When Konwinski left Facebook and joined the team, they incorporated the company, settled on generative models as the foundation, and bounced around several ideas. One of these was Text-To-SQL, an NLP task that generates SQL queries from natural language text.
Today, Perplexity AI uses reinforcement learning to train its model based on real human feedback from users about its summaries, completions, and the like.
When asked about chat functionality, Srinivas noted that while it had its place in search, Perplexity would perhaps not rely on it as heavily as some other platforms: “We think chat UI is the future. People are using it pretty heavily. At the same time, if you can try to get the answer right in the first attempt, you should, right? Like you have a responsibility to save people’s time.”
- Aravind Srinivas is an Indian-American computer scientist, researcher, and programmer who is one of the founders of Perplexity AI. Before this, he interned at some of the finest AI institutions in North America such as OpenAI and DeepMind.
- Srinivas returned to OpenAI in September 2021 as a research scientist where he worked on language and diffusion generative models. One of his projects involved the text-to-image generator DALL-E 2.
- According to his LinkedIn profile, Srinivas left OpenAI in August 2022 and started Perplexity AI soon after. The company’s core product is an AI chat tool-based search engine that uses advanced artificial intelligence such as GPT-3 to answer user queries.
- Aravind Srinivas’s Background: Aravind Srinivas is an Indian-American computer scientist, researcher, and programmer. He is one of the founders of Perplexity AI, an AI chat-based search engine.
- Education and Early Career: Srinivas earned his Master’s in Engineering from the Indian Institute of Technology, Madras, where he researched topics related to transfer learning and reinforcement learning. He later obtained his Ph.D. in Computer Science from the University of California, Berkeley, with a focus on contrastive learning for computer vision and transformers for image generation.
- Research Internships: Srinivas worked as a research intern at prominent AI institutions, including OpenAI, DeepMind, and Google. His internships covered topics like policy gradient algorithms for reinforcement learning, large-scale contrastive learning, and self-attention-based models.
- Work at OpenAI: Srinivas returned to OpenAI as a research scientist in 2021. He worked on language and diffusion generative models and contributed to projects like DALL-E 2, a text-to-image generator.
- Co-Founding Perplexity AI: After leaving OpenAI in August 2022, Srinivas co-founded Perplexity AI with Denis Yarats and Andy Konwinski. Perplexity AI developed an AI chat-based search engine using advanced artificial intelligence, particularly GPT-3, to provide answers to user queries.
- Perplexity AI’s Core Product: Perplexity AI’s chat tool-based search engine employs reinforcement learning to improve its model based on user feedback. The company aims to provide accurate answers in the first attempt to save users’ time.
- Vision for the Future: While initially considering a visual search engine, Perplexity AI settled on generative models as the foundation for its search engine. They believe chat UI is the future, but the emphasis is on delivering accurate answers efficiently to users.
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