Aidan Gomez is Cofounder and CEO at Cohere, a company kickstarting a new chapter in machine learning by giving developers and businesses access to NLP that generates, categorizes, and organizes text at a scale that was previously unimaginable. Prior to Cohere, Aidan co-authored the paper “Attention is All You Need,” which introduced the groundbreaking Transformer architecture. He also collaborated with a number of AI luminaries, including Geoff Hinton and Jeff Dean, during his time at Google Brain, where the team focused their efforts on large-scale machine learning.
The CEO and co-founder of Cohere, the top AI platform for businesses, is Aidan Gomez. The cutting-edge AI platform from Cohere is perfectly adapted to the demands of businesses, providing customization, customer support, and alternatives for data-secure deployment in their current cloud infrastructures.
Aidan co-authored the paper “Attention is All You Need,” which debuted the revolutionary Transformer architecture, before coauthoring Cohere. While at Google Brain, where the team concentrated on large-scale machine learning, he also worked with other notable figures in AI, such as Geoffrey Hinton and Jeff Dean.
Currently pursuing a doctorate in computer science at the University of Oxford, Aidan, who is based in Toronto, graduated with a B.S. in computer science from the University of Toronto.
2023
With the goal of revolutionizing generative AI and semantic search, Cohere has released Embed v3, its most sophisticated embedding model to date. One of the main advantages of Embed v3 is its ability to assess the overall quality of a document’s content and determine how well a query fits the document’s topic. This feature makes it possible for the model to prioritize the documents with the best quality, which is highly helpful when dealing with noisy and complicated datasets.
Cohere’s Embed v3 offers more economical efficiency along with enhanced search precision. With the help of a specifically developed, compression-aware training technique, enterprises may effectively manage billions of embeddings without seeing a major spike in cloud infrastructure costs.
Developers may use Embed v3 for a multitude of purposes. By enhancing the functionality of search apps that handle noisy, real-world data, it enables organizations to improve search applications. Businesses may anticipate more precise and pertinent search results with Embed v3. Moreover, Embed v3 improves RAG system retrievals. These systems become more valuable and perceptive because to the model, which enables them to give thorough and precise replies.
Cohere is releasing new Embed versions in English and many languages, each with unique proportions. By reaching state-of-the-art performance on benchmarks such as the Massive Text Embedding Benchmark MTEB and out-of-domain retrieval on BEIR, these versions have raised the bar significantly.
Latest news about Aidan Gomez
Oracle has partnered with Cohere to offer generative AI services for organizations worldwide. Cohere will train, build, and deploy its AI models on Oracle Cloud Infrastructure (OCI), allowing Oracle to streamline business processes and enhance customer experiences. Oracle’s high-performance and low-cost GPU cluster technology can run large AI workloads. Customers can also refine generative AI models using their own data. Oracle’s Q4 and fiscal full-year financial results showed a 17% increase in Q4 revenues.
Cohere, a Toronto-based AI startup, raised $270 million in a Series C round. The Toronto-based platform provides advanced language generation and understanding technology, developing an AI model ecosystem for enterprises. Cohere aims to release a dialogue model similar to ChatGPT for businesses and developers, available on every cloud provider.
Latest Social posts of Aidan Gomez
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