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I've been holding back on buying a Remarkable for years. Their long-term support seems absolutely impressive, and I've seen people using the same Remarkable for years now (@[email protected] 🕊️🇺🇦) and every time I see someone using one it seems like a magical piece of paper. Now they

€800 and no disc drive. Oh. My.

It's finally there! The write-up of our first public embedding model, Zeta-Alpha-E5-Mistral! Please, reach out if something is unclear or if you think any information is missing!

For those hungover from PyTorch Conf and looking for more action today, don't miss out on @ZetaVector's Transformers at Work mini-conference, with speakers from NVIDIA, DeepMind, Cerebras, Contextual & more. Last tickets available, see you at 1pm! lu.ma/2k566ig2

I'm so sorry for the work I'm creating for tomaarsen. I've just opened my 4th PR on SentenceTransformers this week.

Every time I buy tickets to Brazil for visiting our family, I look at families with 4+ kids with amusement. Anyway, let me take advantage of the fact that the youngest one doesn’t pay full fare yet.

Docstring generation is a neat feature

Using Astro bot to teach my kid about the important stuff: Video game history and how BACK IN MY DAY we had to use memory cards and multitaps.

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I just released Sentence Transformers v3.3.0 & it's huge! 4.5x speedup for CPU with OpenVINO int8 static quantization, training with prompts for a free perf. boost, PEFT integration, evaluation on NanoBEIR, and more! Full release notes: github.com/UKPLab/sentenc… Details in 🧵

Tell me you don’t have kids without telling me you don’t have kids.

TBH, uv is one of the best things that happened in the Python ecosystem recently.

Amazing opportunity that I would take in a heartbeat if I were a student!

I need a meeting response that's "I'm attending but working at the same time. Say my name 3 times to summon me for a question"

The world is going to look shockingly similar in 5 years, despite massive technological innovation enabled by AI.

Visualizing agents as a state machine (literally as an FSM) is actually a nice and more realistic abstraction.