Julien Simon
where else to find them
website:https://www.julien.org
github:juliensimon
x:julsimon
linkedin:juliensimon
youtube:@juliensimonfr
devto:juliensimon
what they talk about
all 6 in the filters
where they keep going back
- Paris Container Day2 editions2016–2017
all 10 in the filters
on a stage with
- Aditi Ramaswamyonce
- Andrew Knightonce
- Anisha Biswarayonce
all 14 in the filters
who talks about the same things
- Ed Shee5 talks
- Ian Massingham6 talks
- Alejandro Saucedo33 talks
- Sara Robinson17 talks
- Joshua Arvin Lat20 talks
- Laurent Picard14 talks
| title | conference | date |
|---|---|---|
| Deploy Your Open-Source Language Model | AWS Summit Paris 2024 | 2024-04-03 |
Shows how to deploy open-source generative language models using Amazon SageMaker or Amazon EKS, covering the deployment technologies and cloud infrastructure… | ||
| Reinventing Machine Learning with Transformers and Hugging Face | PyCon SE 2022 | 2022-11-03 |
Hugging Face demonstrates building and deploying Transformer-based apps using the Transformers library, the Hub, AutoTrain and Diffusers: the Hub hosts 83,000… | ||
| Machine Learning 2.0 With Hugging Face | PyData London 2022 | 2022-06-17 |
A concrete workflow shows up: DistilBERT fine-tuned on 100k Amazon shoe reviews (20k per star), trained for a quick epoch on GPU, pushed to the Hugging Face… | ||
| Premiere | Conf42 Machine Learning 2022 | 2022-05-19 |
Conference opens with the claim that machine learning won’t put anyone out of a job but will change how work gets done and then moves into concrete tools and… | ||
| Machine Learning 2.0 with Hugging Face | Conf42 Machine Learning 2022 | 2022-05-19 |
Hugging Face claims practical transfer learning: a hub with about 2,900 datasets and over 29,000 pre‑trained models in 160+ languages that sees roughly 1… | ||
| Start your AI/ML Projects Right | Developers Summit 2021 | 2021-02-18 |
Practical checklist for launching ML projects: frame a quantifiable business goal (for example reduce churn by 5%), measure a baseline, and iterate fast rather… | ||
| Getting started with Machine Learning on AWS. | Devoxx Ukraine 2020 | 2020-11-05 |
Walks through the AWS ML stack with live console and SDK demos: Amazon Rekognition (face, celebrity, text, moderation, PPE detection), Amazon Polly with SSML… | ||
| Automatically Build Models With Amazon Sagemaker | AWS Summit Online EMEA 2020 | 2020-09-01 |
Shows how Amazon SageMaker Autopilot ingests a CSV (Direct Marketing Dataset ~41,000 rows, 20 features, label 'Y'), splits 95/5, and automatically generates 10… | ||
| Scaling ML from 0 to millions of users | Highload fwdays'19 | 2019-10-05 |
Compares three concrete deployment paths: single VM with deep learning AMI for quick notebooks, container clusters on ECS/EKS with CPU and GPU nodegroups… | ||
| Machine Learning and AI in Java on AWS | JavaDay Ukraine 2017 | 2017-11-04 |
Overview of concrete demos and results: Polly: 50 voices, 24 languages generates real-time SSML speech with one API call; Rekognition: detects up to 15 faces… | ||
| Advanced container scheduling on Amazon ECS with Blox | Paris Container Day 2017 | 2017-06-13 |
Describes Blox extensions to Amazon ECS that add a placement engine (filters on AMI, instance type, availability zone and policies such as spread, binpack… | ||
| Deploying and Scaling Docker Clusters | Paris Container Day 2016 | 2016-07-12 |
Describes deploying and scaling Docker clusters using AWS technologies. Covers practical approaches for setting up container clusters, managing scale, and… | ||
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