Research Scientist, DeepMind
London, England
Joined February 2012
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Angeliki Lazaridou retweeted
Next level Gemini landed - come try it @ ai.dev
1/ Excited to introduce the updated Gemini 2.5 Pro (I/O edition), now even better at coding, and ranking #1 on WebDev Arena.
It’s achieving state of the art performance on image and video understanding, scoring 84.8% on the VideoMME benchmark. 📈
Angeliki Lazaridou retweeted
We’re releasing an updated Gemini 2.5 Pro (I/O edition) to make it even better at coding. 🚀
You can build richer web apps, games, simulations and more - all with one prompt.
In @GeminiApp, here's how it transformed images of nature into code to represent unique patterns 🌱
Angeliki Lazaridou retweeted
Gemini 2.5 Pro (I/O edition) is amazing at coding UI ✨
I vibe coded a dictation app that:
- Structures rambling voice notes
- Removes "ums" and fillers
- Automatically formats lists
All animations and polish from one screenshot!
Demo + code below
Something tells me even the Grinch will stand up for an encore. #RAHChristmas
Angeliki Lazaridou retweeted
I’m stoked to announce that @GlyphicAI is officially out of stealth with a $5.5M fundraise led by @p72vc to build an AI copilot for sales teams.
Angeliki Lazaridou retweeted
We're looking for a rockstar Product Designer to join us at Glyphic. 2023 is an exciting year for us as we work with early users and iterate on the product. Apply and see more info here: read.cv/teams/glyphic/produc…. (Artwork by @TomWaszkowycz)
One thing that I’m wondering is what sort of benchmarks (with easy evaluation) are out there that stress-test the same type of tasks humans pose to chatGPT. Any pointers?
Angeliki Lazaridou retweeted
👋 I will moderate the Careers in NLP panel this afternoon 5-6pm (Hall B) #EMNLP2022. We have a wonderful list of panelists.
Let me know questions and topics of most interest to you by 4pm via the following link:
forms.gle/a5Tf9BKEAnNqf7mp8. I will do my best to incorporate them.
Angeliki Lazaridou retweeted
The Language team at DeepMind are hiring! Come and work with us on fundamental problems of language understanding and how this can lead us to better AI systems.
boards.greenhouse.io/deepmin…
Angeliki Lazaridou retweeted
❓Wondering when the #EMNLP2022 Industry Track notifications will be sent out?
We are finalizing the decisions and will send out all notification in a few hours. Stay tuned!
Angeliki Lazaridou retweeted
Intern applications at @DeepMind for the 2023 calendar year open this Friday, September 16th! 📣
Feel free to contact me or others for info, be ready to apply, and please share with your network!
After all the great research coming up in the community around the pitfalls of static LMs, these news from @huggingface are particularly exciting! There is a great deal of applications that online LMs can enable and a lot of interesting questions around new evaluations!
Angeliki Lazaridou retweeted
We're presenting RETRO at 4:15pm @icmlconf with @borgeaud_s, and later today at the poster session. Add a retrieval DB to divide your model size by 10, don't miss out!
Less than a week left for the paper submission of the inaugural EMNLP Industry Track! Paper submission June 25th. Looking forward to the exciting submissions!
EMNLP Call for paper for the inaugural *industry track* is posted! 2022.emnlp.org/calls/industr…
We have three tracks — deployed, emerging, and discovery, all focusing on real-world implementations of NLP systems. The submission deadline is July 25, 2022.
If you are at ICML check out our work on keeping QA models updated! Some reasons of why I’m super excited about this work! First, we make creative use of few-shot prompting to create a large QA dataset grounded in different points in time. Synthetic data FTW! 1/N
Interested to chat about a new QA benchmark and how well our models adapt to new knowledge? Come see StreamingQA spotlight/poster today at #ICML2022.
By @TomasKocisky, @elenagri_, @aggielaz, @adliska, @TayfunTerzi, and others.
icml.cc/virtual/2022/spotlig…
arxiv.org/abs/2205.11388
(Vanilla) Retrieval methods are memory-intensive due to the growing search index and perform really well on low frequency items. Closed-book models otoh are compute-intensive and perform strongly on high-frequency items. This points to potential synergies between the two. :) 3/N
Angeliki Lazaridou retweeted
Only 5 days left to submit your 300 word abstracts to our @JCoLE2022 workshop on modelling language evolution & emergent communication! We accept classic agent-based models + deep learning models, and have a stellar list of speakers! Join us!
More info: ml4evolang.github.io/
Some of the things we have been recently working on the topic of keeping models up-to-date :)
Excited to share our new paper: "StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models" with @TomasKocisky, @elenagri_, @TayfunTerzi, @devang314, @aggielaz, and others.
arxiv.org/abs/2205.11388
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