Farooq Sabir
Employers on the program
- 2021–2022Amazon Web Services2 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | chalk talk | Accelerate generative AI deployment with Amazon SageMaker JumpStart [REPEAT]In this chalk talk, learn how Amazon SageMaker JumpStart enables rapid prototyping using the latest pretrained deep learning models, including models from…Show lessIn this chalk talk, learn how Amazon SageMaker JumpStart enables rapid prototyping using the latest pretrained deep learning models, including models from Stability, AI21 Labs, Cohere, and Meta. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | workshop | Using publicly available FMs on Amazon SageMaker JumpStart [REPEAT]Amazon SageMaker JumpStart is a machine learning hub that offers models, algorithms, and solutions. In this workshop, learn how you can access publicly…Show lessAmazon SageMaker JumpStart is a machine learning hub that offers models, algorithms, and solutions. In this workshop, learn how you can access publicly available foundation models (FMs) and customize them so you can develop cutting-edge generative AI applications. | |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | chalk talk | RStudio on Amazon SageMaker as AWS RStudio on Amazon SageMaker provides a familiar RStudio IDE with on-demand cloud compute resources. In this chalk talk, discover how to launch RStudio with a…Show lessRStudio on Amazon SageMaker provides a familiar RStudio IDE with on-demand cloud compute resources. In this chalk talk, discover how to launch RStudio with a single click from Amazon SageMaker. | Slides |
| Nov 29, 2021 | AWS re:Invent 2021 | AWS re:Invent | chalk talk | Improve ML productivity through better feature engineering [REPEAT] as AWS ML has quickly become a top priority for organizations everywhere, but achieving ML at scale across many business units and teams is no small feat. Join this…Show lessML has quickly become a top priority for organizations everywhere, but achieving ML at scale across many business units and teams is no small feat. Join this chalk talk to learn how Amazon SageMaker Feature Store lets you share new ML features, search and discover existing features, and flexibly reuse features in new models to accelerate the pace of ML model development. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Aaron Sengstacken | 3 | — | 2023 |
| Abhay Saxena | 3 | — | 2023 |
| Adam Hesch | 3 | — | 2023 |
| Adam Hill | 3 | — | 2023 |
| Adam Palmer | 3 | — | 2023 |
| Adam Selipsky | 3 | — | 2023 |
| Adnan Bilwani | 3 | — | 2023 |
| Adolfo Hernandez | 3 | — | 2023 |
| Akash Bhatia | 3 | — | 2023 |
| Ala Abunijem | 3 | — | 2023 |
| Alan Halachmi | 3 | — | 2023 |
| Alex DeBrie | 3 | — | 2023 |
| Alex Torres | 3 | — | 2023 |
| Alexandra Huides | 3 | — | 2023 |
| Ali Saidi | 3 | — | 2023 |
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.