Training Your Own State-of-the-Art Models & Building Aya Expanse

Training Your Own State-of-the-Art Models & Building Aya Expanse

A seminar on LLMs with Cohere AI Team

  • Date: 23 Oct 2024

We’re excited to co-host kAi Sabanci’s amazing event with special guests Irem Ergun, Ahmet Üstün and Beyza Ermis from Cohere 👇

𝗦𝗽𝗮𝗿𝗸 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 Cohere. 𝗖𝗼𝗵𝗲𝗿𝗲: Building Aya Expanse, A Journey into Large Language Models

We’re thrilled to announce our new event featuring the team behind Cohere’s Aya Expanse, happening this TUESDAY, November 12th, from 8:00–9:00 PM Istanbul Time!

✨ Topic: 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗢𝘄𝗻 𝗦𝘁𝗮𝘁𝗲-𝗼𝗳-𝘁𝗵𝗲-𝗔𝗿𝘁 𝗠𝗼𝗱𝗲𝗹𝘀 & 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝘆𝗮 𝗘𝘅𝗽𝗮𝗻𝘀𝗲

⌚ When: 8:00–9:00 PM Istanbul Time (Tuesday, November 12th, 2024)

💻 Where: Online (Platform details will be shared with registered attendees)

🔗 Register Now: https://lnkd.in/dsjkywaX

In this session, our esteemed Cohere research team will explore: • Advanced techniques for training state-of-the-art language models. • Insights into the development and architecture of the Aya Expanse model. • Best practices for optimizing large-scale AI deployments and cloud-based solutions.

⭕ Don’t miss this opportunity to:

  • Learn from leading experts in AI model training and optimization.
  • Gain firsthand knowledge of the Aya Expanse development process.
  • Engage with the research team during our live Q&A session.

👤 About the Speakers:

  • Ahmet Üstün Ahmet Üstün is a Senior Research Scientist at Cohere for AI, holding a Ph.D. in Computational Linguistics from the University of Groningen. Ahmet has made significant contributions to the Aya Expanse series, leveraging his expertise to advance state-of-the-art language model training techniques.

  • Beyza Ermiş Formerly at AWS and with a Ph.D. in Computer Science from Boğaziçi University, Beyza is a Research Scientist at Cohere with prior experience in AWS.

  • İrem Ergün İrem Ergün is a Machine Learning Engineer at Cohere, where she specializes in the post-training optimization of large language models. Previously, İrem was a graduate student researcher and teaching assistant at the University of California, Riverside, focusing on privacy-preserving machine learning.

Join us for a deep dive into the cutting-edge advancements driving Cohere’s research and the future of AI!

See you soon! kAi

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