Manasi Vartak
where else to find them
what they talk about
all 5 in the filters
where they keep going back
no series more than once — all 3 in the filters
on a stage with
- Alexy Khrabrovonce
- Eric Peteronce
- James Chamonce
all 6 in the filters
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| Can AI Write Its Own Story? Unveiling the Power of Self-Documenting AI. | Scale By the Bay 2023 | 2023-11-13 |
Claims that GPT can auto-document models get tested end to end: a weekend prototype becomes a production feature after about 3 months, after running 2–3 dozen… | ||
| PANEL - Data, Code, and Life with LLMs. | Scale By the Bay 2023 | 2023-11-13 |
One-hour debate argues whether new billion‑dollar startups in five years come from open or closed models, citing concrete evidence: Llama 2’s released weights… | ||
| Serverless for ML Inference on Kubernetes: Panacea or Folly? | KubeCon + CloudNativeCon North America 2020 Virtual | 2020-11-17 |
Benchmarks compare AWS Lambda, Google Cloud Run (Knative) and Verta containers on Kubernetes (ModelDB/KubeFlow workflows) for ML inference and find concrete… | ||
| Model Versioning: Why, When, and How | TWIMLcon: AI Platforms 2019 | 2019-10-01 |
Argues that production ML needs true model versioning and describes ModelDB and Verta workflows that track the model artifact plus code, data, config and… | ||
| nothing matches | ||