😷 ➡️ @[email protected]

Sr. Data Scientist & Applied ML Scientist @AXA | ex 👨‍🔬 @CERN | | 🗣️ mine | he/him | 🧠 Working on Machine Learning & NLP at scale 👨‍💻 Python/Cloud native

[Jeremiah Harmsen @JeremiahHarmsen]

Building the next frontier of AI requires exceptional technical leadership. We’re hiring a Research Scientist (Director+) to join the Frontier AI team at @GoogleDeepMind in Zurich 🇨🇭.
Apply here: https://t.co/BGBXX9RVYr

[😷 ➡️ @[email protected] @fabtar]

@MLStreetTalk @anilananth Fancy bookstore! Thanks for the recommendation. It’s definitely next on my list. 📚

[Divam Gupta @divamgupta]

We launched on possibly the worst timing ever - right when OpenAI, Google DeepMind, and Anthropic all had major releases. Somehow we still made it to #1 on Hacker News. Thanks to everyone who checked us out! 🙏

[Florian Tramèr @florian_tramer]

Last year we launched the Swiss AI red-teaming network with @ETH @EPFL and multiple companies

We started off with discussing pragmatic prompt injection defenses

We compiled our thoughts into a list of "design patterns" that we think can be effective in many practical settings

[😷 ➡️ @[email protected] @fabtar]

@MLStreetTalk @FlorianCaesar @ecsquendor Enjoy the sunny day in Zurich

[Lucas Beyer (bl16) @giffmana]

You're in Zurich or its zone of influence (Lausanne, Paris, BXL, Munich, London, ...) and like AI + Robots?

We (@openai) together with @mimicrobotics, @lokirobotics, and Zurich Builds are organizing a hackathon from Fri 9 May afternoon to Sun 11.

Limited spots, more below:

[Emmanuel Ameisen @mlpowered]

Sam and I did a deep dive into some of our recent results, discussing how language models plan, perform computations, and reason across languages!

If you use LLMs like Claude and want to know how they work, I recommend giving it a listen. No technical background needed!

[😷 ➡️ @[email protected] @fabtar]

@_cartick Congrats this looks great and looking forward to try it when available on GCP🚀

[😷 ➡️ @[email protected] @fabtar]

Are you safe from Duo this year? #Duolingo365

[😷 ➡️ @[email protected] @fabtar]

@OfficialLoganK Look like logprobs is not available anymore on EU endpoint for Gemini 1.5 flash or pro 002 using vertex AI SDK 1.71.1. Did we missed something?

[😷 ➡️ @[email protected] @fabtar]

@francoisfleuret When I started python I had this Python pocket reference (2002) not sure if it still exists for recent versions

[Swiss Python Summit @pythonsummit]

Swiss Python Summit Early Bird Alert! 🇨🇭🐍🎉

Get your tickets on https://t.co/Nwp9JvUbZm before it's too late and save up to 40%! 🤩

#python #pythonsummit #EarlyBird #Discount

[Hamel Husain @HamelHusain]

If you remember our Applied LLMs course, you'll love this. Today, we are making all these resources available for free to everyone! 📚

We did extra work to add learning tracks, resources, and notes to each lesson to maximize your learning. Link in next tweet

[😷 ➡️ @[email protected] @fabtar]

Maybe you should check this default setting and fix it !

[😷 ➡️ @[email protected] @fabtar]

Take Developer Ecosystem Survey by JetBrains https://t.co/RqWxptSU4G

[François Fleuret @francoisfleuret]

"The little book of Deep Learning" update v1.2!

Minor updates ("meta-parameter" -> "hyper-parameter") + fine-tuning in 3.6 + a new chapter 8.

Draft below, comments are welcome.

[😷 ➡️ @[email protected] @fabtar]

I’ve joined the Streak Society, Duolingo’s most exclusive club. Get a 365 day streak to join me! #DuoStreakSociety

[Martin Görner @martin_gorner]

The "Self-Extend" paper https://t.co/6FxvNVKyca promises magic for your LLMs: extending the context window beyond what they were trained on. You can take an LLM trained on 2000 token sequences, feed it 5000 tokens and expect it to work. Thread 🧵
(SWA below=sliding window attn.)

[Devendra Chaplot @dchaplot]

We just released Mixtral 8x7B paper on Arxiv:
https://t.co/wn0kOOFTcJ

[Sebastian Raschka @rasbt]

Thanks, everyone, for all the support and positive words for my "Build a Large Language Model (from Scratch)" book!

The next chapter on *coding self-attention, multi-head attention, and causal self-attention from scratch* is on the way and will be in the MEAP in a few weeks!

For a sneak peek, you can find the code (along with short notes here): https://t.co/gVvAX4OZWD.