Senior Research Scientist @wayve_ai, ex-StabilityAI
Vienna, Austria
Joined August 2017
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- Following728
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RahimEntezari retweeted
folks, just go with the d1 models for your decision use-cases! its just getting started 🌊
Incredible explainer @TheTuringPost 🙏🏻✨
Openrouter: openrouter.ai/liquid/d1
HF: huggingface.co/LiquidAI/d1-3…
HF: huggingface.co/LiquidAI/d1-o…
stumbled over this fantastic video by @TheTuringPost on our open d1 models.
this week we released our open d1 decision models and this video discusses:
• why fast & multimodal decision models are important
• why building on LFM2.5 models enables fast decisions
• what use cases fast & multimodal decision models unlock
video: youtube.com/watch?v=EjX3OQQN…
ps: so glad to see i'm not the only one struggling with that hand flappy demo. it's so hard.
RahimEntezari retweeted
LFM vs DeepSeek Flash on agentic tool calls
New LFM2.5-2.6B hits DeepSeek-V4 level on tool calling and runs 3.7x faster!
We ran @liquidai 's new LFM2.5-2.6B against DeepSeek-V4-Flash on one box with 4x RTX 5090. Both got the same three jobs, and each one only completes if the model fires every tool call
Topics:
-weather and local time in six cities
-one budget into six currencies
-four hotels checked and booked for one date
Outputs:
LFM2.5-2.6B: 35/35 tool-calls, 366 tok/s, 19s
DeepSeek-V4-Flash: 35/35 tool-calls, 77 tok/s, 70s
Both models made all 35 calls, and both fired twelve of them in one turn. LFM was trained for agents, and tool calling is where that shows. Strong result for a model you can run right on your phone
RahimEntezari retweeted
Mirendil has signed a $100 million-plus Google Cloud partnership to expand its compute infrastructure, powering research into self-improving AI systems designed to accelerate scientific discovery and AI development.
spr.ly/6013B18mb7
RahimEntezari retweeted
@Google has been a reliable partner for @mirendil since day one. Today, we are excited to announce a multi-year partnership to power the next generation of self-accelerating AI!
Today, we're announcing a multi-year partnership with @Google to power the next generation of self-accelerating AI!
Mirendil will scale its training, inference, and AI research workloads on @googlecloud 's AI Hypercomputer — drawing on both TPUs and full-stack NVIDIA AI Infra.
RahimEntezari retweeted
Two veterans of big artificial-intelligence labs are wagering they can outflank their former employers by making and distributing AI that accelerates AI research for everyone on.wsj.com/4xRTQ9u
This is why Iranian regime shutdown internet, to kill thousands of people. Please spread the world
This quoted post is unavailable.
RahimEntezari retweeted
I still get a lot of questions about doing a PhD in ML so I'm resurfacing a three threads I wrote about this including some fun personal stories 🧵
RahimEntezari retweeted
🎬 Introducing Stable Cinemetrics, to be presented at NeurIPS 2025.
We present the first taxonomy of professional controls to systematically study and control video generative models through the lens of filmmaking.
Interactive webpage with paper link: stable-cinemetrics.github.io…
🧵
How ready are T2V for professional filmmaking?
In our Nuerips paper, we showed that how far we are from making cinematic ready generations, in Events, Camera, Setup and lighting.
🎬 Introducing Stable Cinemetrics, to be presented at NeurIPS 2025.
We present the first taxonomy of professional controls to systematically study and control video generative models through the lens of filmmaking.
Interactive webpage with paper link: stable-cinemetrics.github.io…
🧵
RahimEntezari retweeted
Introducing Stable Diffusion 3.5 Flash ⚡, a state of the art distilled image generation model that is best in class for all compute budgets.
🔗Project page: hmrishavbandy.github.io/sd35…
Authors: @hmrishavbandy, @rahiment, Jim Scott, Reshinth Adithyan, @yizhe_song, @jampani_varun
RahimEntezari retweeted
T1/11
Text-to-image AI is amazing, but what if you don't speak English? Most are English-centric, creating barriers for billions.
We introduce NeoBabel, a new open model for visual generation that natively understands 6 languages, breaking down the walls of digital inequity. 🌍🗣️
RahimEntezari retweeted
Here is another uncut video of real-time interactions with @GoogleDeepMind 's Gemini Robotics!
CVPR2025:
Are you passionate about Large Vision models? How about efficiency?
- We are looking for reviewers for eLVM workshop
- Also eager to read your submissions!
workshop page: sites.google.com/view/elvm/h…
reviewer enrolment: bit.ly/3Flhjcb
#CVPR2025
RahimEntezari retweeted
Our agents are working 24/7, and more registration codes are rolling out!
Try out our hallucination detection agents for free now!
Request your registration code here: platform.relai.ai/auth/waitl…
RahimEntezari retweeted
Hi AI world ✋ We are committed to make AI reliability accessible and achievable for everyone!
First up: RELAI agents for hallucination detection
Chat with popular LLMs, Verify with RELAI.
Try it for free today: relai.ai
#AI #LLM #ReliableAI #Hallucination
Interesting to see RELAI looking into one the most important problems of GenAI: reliability!
🚀 Exciting news! We’re launching RELAI with a mission to make AI reliability accessible and achievable for everyone.
Our first release: RELAI agents for real-time hallucination detection in popular LLMs.
👉Try it now for free at: relai.ai
SD3.5 medium is out this time! Great to use with consumer hardware for finetuning and a lot of research on diffusion models!
