Jay Alammar
Employers on the program
- 2024–2026Cohere4 talks
- 2019–2020STVcapital2 talks
Appearances by year
- PyData
- QCon
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Sep 10, 2026 | PyData Amsterdam 2026 | PyData | keynote | From LLMs to Agents and from words to actions as Cohere The title is self-explanatory but we will cover this transition to the realm of Agents and how actions speak louder than words. | |
| Aug 3, 2025 | KDD 2025 (31st ACM SIGKDD Conference) | ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) | ADS invited talk | Untitled as Cohere | |
| Jun 6, 2025 | PyData London 2025 | PyData | keynote | Keynote- From Next Token Prediction to Reasoning and Beyond as Cohere Large Language Models (LLMs) have grown into prominence as some of the most popular technological artifacts of the day. This talk will provide a highly…Show lessLarge Language Models (LLMs) have grown into prominence as some of the most popular technological artifacts of the day. This talk will provide a highly accessible and visual overview of LLM concepts relevant to today's data professionals. | |
| Apr 8, 2024 | QCon London 2024 | QCon | speaker | Retrieval-Augmented Generation (RAG) Patterns and Best Practices as Cohere The rise of LLMs that coherently use language has led to an appetite to ground the generation of these models in facts and private collections of data. | |
| Jun 17, 2022 | PyData London 2022 | PyData | talk | Large Language Models for Real-World Applications - A Gentle IntroMachine language understanding and generation has been undergoing rapid improvements due to recent breakthroughs in machine learning (e.g. large language models…Show lessMachine language understanding and generation has been undergoing rapid improvements due to recent breakthroughs in machine learning (e.g. large language models like GPT and BERT). | |
| Mar 2, 2020 | QCon London 2020 | QCon | speaker | Visual Intro to Machine Learning and Deep Learning as STVcapital | Video |
| Mar 4, 2019 | QCon London 2019 | QCon | speaker | Intuition & Use-Cases of Embeddings in NLP & Beyond as STVcapital | Video |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Anders Bogsnes | 3 | — | 2026 |
| Cheuk Ting Ho | 3 | — | 2026 |
| Theodore Meynard | 3 | — | 2026 |
| Bernd Ruecker | 3 | — | 2024 |
| Jeroen Janssens | 2 | — | 2026 |
| Luca Baggi | 2 | — | 2026 |
| Thijs Nieuwdorp | 2 | — | 2026 |
| Ade Idowu | 2 | — | 2025 |
| Chris Fonnesbeck | 2 | — | 2025 |
| Ian Ozsvald | 2 | — | 2025 |
| Ines Montani | 2 | — | 2025 |
| Andrzej Grzesik | 2 | — | 2024 |
| Holly Cummins | 2 | — | 2024 |
| Ian Thomas | 2 | — | 2024 |
| Julia Lawall | 2 | — | 2024 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.