Uphill Conf 2024
2024-05-16..2024-05-17
Bern, Switzerland
[Uphill Conf 2018, Uphill Conf 2019, Uphill Conf 2024, Uphill Conf 2025]
who it's for
machine learning engineers, data scientists, ai researchers, frontend developers, platform engineers, product managers
topics
text-to-image pretraining; large language model applications; on-device browser ml; ai agents architecture; Hugging Face model workflows; open large language model training; personal knowledge management strategies; ai application case studies; neural network fundamentals; efficient pretraining techniques
| title | author | length |
|---|---|---|
| Highlights: Attendee Insights | 01m | |
Attendees report which sessions felt memorable and why: mentions ChatGPT demos and rapid advances in generative AI, notes a surprising number of people working… | ||
| Highlights: What Attendees Loved! | 01m | |
Quick montage that relives Uphill Conf 2024 with attendee reactions and event shots, repeatedly emphasizing the community factor and a range from very… | ||
| Uphill Conf 2024 Sponsor - Coalist | Coalist | 01m |
Short testimonial that gives a few concrete facts and nothing technical: a first-time visit funded by a sponsored pass, a clear location at the Gurten venue… | ||
| Sponsors Interview | Exoscale | 01m |
Claims that sovereign cloud based in Switzerland hosts live demos and asserts capacity for large models and heavy inference. Shows real-life AI use cases… | ||
| Sponsors Interviews | fidentity | 01m |
fidentity runs over 1,000 AI instances and uses machine learning and classifiers to make mission-critical decisions for large companies and government… | ||
| Partners Interviews – Lambda IT | Wayne Maurer | 01m |
Claims a clear walkthrough of internals of transformers with concrete details about attention, layers, and memory usage and a live demo of large language… | ||
| Partners Interviews – Schaltstelle | Schaltstelle | 01m |
This is a short partner interview from a Bern-based LLC of freelance software developers that makes no technical claims, shows no tools, and reports no… | ||
| Sponsor Interviews | Edorex | 01m |
A sponsor frames the event as a networking opportunity and argues that applied AI is already critical for clients and will soon eliminate many “bullshit jobs”… | ||
| Meet our Speakers – Lisa Carpenter | Lisa Carpenter | 05m |
Claims that nontechnical career-changers get concrete pathways into AI: training with Digital Futures that includes two years of on-the-job experience deployed… | ||
| Meet our Speakers – Miquel Farré | Miquel Farré | 04m |
Describes how machine learning replaces prior signal processing methods with markedly better results, documents building a Genome Project knowledge graph that… | ||
| Meet our Speakers – Joshua Starmer | Joshua Starmer | 07m |
A clear claim: understanding modern AI reduces to basic multiplication and addition rather than magic, and that digging into low‑level arithmetic reveals… | ||
| Uphill Conf 2024 | 01m | |
Video showcases an auviso7310 trailer and documents a rainy workshop prototypes session that produces concrete demos rather than slides, captures the inaugural… | ||
| Building AI applications: Successes and Lessons | Tobias Kluge | 27m |
A practical account of building a usable AI product: starts with a RAG prototype and chat UI, uses semantic search with header chunking and vector indices, and… | ||
| Efficient Pretraining of Text-to-Image Models | Pablo Pernias, Dominic Rampas | 22m |
A concrete method claims 42x compression of megapixel images into 24x24 latents while reconstructing visual detail, using a VAE-style encoder plus a diffusion… | ||
| Unlocking the Potential of Large Language Models | Lisa Carpenter | 27m |
Demonstrates Retrieval-Augmented Generation that cuts hallucinations by fetching relevant passages, using LangChain to orchestrate embeddings into a vector… | ||
| From ML to LLM: On-Device AI in the Browser | Nico Martin | 20m |
Claims practical on-device LLMs using WebAssembly and WebGPU with TensorFlow.js and Transformers JS, showing face-landmark demo jumping from ~5 fps on CPU to… | ||
| Strategies for Enhanced Personal Knowledge Management | Marc Herren | 13m |
Claims that local LLMs actually run inside Logseq via an olama plugin and answer in a couple seconds on an M1 Mac, not vague AI hype. Demonstrations show… | ||
| Build the new generation of AI Agents | Gerard Sans | 39m |
A working AI agent is assembled with Google AI Studio driving Gemini models, Vertex AI for deployment, and an Angular codebase used in demos; it ties tools… | ||
| Building Machine Learning Applications using Hugging Face | Lewis Tunstall | 19m |
Hugging Face shows concrete plumbing: the Hub hosts over 500,000 models and 100,000 datasets and handles scale like a 141 billion-parameter model pushed in… | ||
| Training Large Language Models in the Open | Leonardo Von Werra | 25m |
Claims concrete: 176B‑parameter model trains on roughly 400 GPUs on the Jean supercomputer, BigScience builds a 350B‑token dataset, and the code effort crawls… | ||
| Would you like fries with that? | Kyra Goud, Josephine Pfeiffer | 14m |
An AI recommendation engine is implemented inside Red Hat’s Developer Hub built on Backstage.io using a Developer Hub analytics API, Knative event-driven… | ||
| Neural Networks | Joshua Starmer | 36m |
Step-by-step math shows how a decoder-only Transformer actually converts tokens to numbers (word embeddings, positional encoding), computes dot-product… | ||
| Uphill Conf 2024: Dive into the Dynamic Agenda and Captivating Talks on Friday, May 17th | Joshua Starmer, Lewis Tunstall, Lisa Carpenter, Pablo Pernias, Dominic Rampas, Michel Farré | 01m |
Agenda released: Applied AI for Software Developers
We are excited to present the conference agenda for this year's Uphill Conf on May 17, 2024! This year's… | ||
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