Judith Joseph
Employers on the program
- 2024Amazon Web Services1 talk
Events2
Conferences1
Talks2
Years active2023–2024
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | builders session | Fine-tune Hugging Face LLMs using Amazon SageMaker and AWS Trainium [REPEAT] as AWS Large language models (LLMs) are pretrained on vast amounts of data and perform well across a variety of general-purpose tasks and benchmarks without further…Show lessLarge language models (LLMs) are pretrained on vast amounts of data and perform well across a variety of general-purpose tasks and benchmarks without further specialized training. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | builders session | PyTorch best practices for generative AI & LLM inference architectures [REPEAT]Generative AI and large language models (LLMs) are rapidly disrupting workflows. Inference architectures for these large-scale models need to be carefully…Show lessGenerative AI and large language models (LLMs) are rapidly disrupting workflows. Inference architectures for these large-scale models need to be carefully constructed to achieve optimal cost performance. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Alex Iankoulski | 2 | 1 | 2024 |
| Daniel Zilberman | 2 | 1 | 2024 |
| Hiroshi Tokoyo | 2 | 1 | 2024 |
| Keita Watanabe | 2 | 1 | 2024 |
| Scott Perry | 2 | 1 | 2024 |
| Sean Smith | 2 | 1 | 2024 |
| Aamir Khan | 2 | — | 2024 |
| Aaron Chen | 2 | — | 2024 |
| Aaron Dailey | 2 | — | 2024 |
| Aaron Miller | 2 | — | 2024 |
| Aaron Sempf | 2 | — | 2024 |
| Aaron Sengstacken | 2 | — | 2024 |
| Aaron Su | 2 | — | 2024 |
| Abbas Mooraj | 2 | — | 2024 |
| Abby Daniell | 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.