Ramin Hasani
@ramin_m_h
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with LEAP you can build your own local reliable AI app, from a financial advisor, to the private version of the companion thing @elonmusk & xAI cooked! . do it today!
leap.liquid.ai
Liquid Leap empowers AI developers to deploy the most capable edge models with one command.
Today, we release LEAP, our new developer platform for building with on-device AI — and Apollo, a lightweight iOS application for vibe checking small language models directly on your phone. With LEAP and Apollo, AI isn’t tied to the cloud anymore. Run it locally when you want,
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RT @ClementDelangue: It’s time for the American AI community to wake up, drop the "open is not safe" bullshit, and return to its roots: ope….
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expect no release of super intelligence (SI) to the public from frontier labs when it arrives. if you as a company get to SI, you will share and commercialize the outputs with the world but you wouldn’t share the entity itself. for instance, one day SI will discover a new
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alright, we will split it, join our discord (liquid-ai) for details.
we will be having 3 grand hackathons soon at @LiquidAI_ offices in Boston, SF, and Tokyo. This is called “Bohemian Rhapsody, the Liquid edition”. you will build a wild ai agent with a swarm of tiny models to match/surpass frontier models in the real-world app of choice. join.
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RT @localghost: hyped to partner with Ramin and his team at @LiquidAI_.to bring powerful local AI access to even more people.
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we will be having 3 grand hackathons soon at @LiquidAI_ offices in Boston, SF, and Tokyo. This is called “Bohemian Rhapsody, the Liquid edition”. you will build a wild ai agent with a swarm of tiny models to match/surpass frontier models in the real-world app of choice. join.
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RT @duyluongdesign: I’ve been working with the @apolloaiapp team over the past few months to improve the app and launch a new local models….
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RT @apolloaiapp: LFM2 are now available on Apollo. Thanks to the @LiquidAI_ team for driving forward months of app and user improvements, w….
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RT @VentureBeat: Finally, a dev kit for designing on-device, mobile AI apps is here: Liquid AI's LEAP
venturebeat.com
LEAP takes a local-first approach that allows small models to run directly on-device, no cloud infrastructure.
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watch Apollo’s evolution as we continue adding nontrivial features, and download the app today! . Proud to have the legendary @localghost leading the project!.
Excited to share that Apollo has been acquired by Liquid AI. Expect more models, improvements, and powerful features you've never seen before with on-device models.
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RT @romankhrupa: Here’s a prototype I built in a few hours using the Leap SDK . It reads information from a website and uses a local LLM to….
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RT @acrognali: Give LEAP a try! I built the iOS SDK, would love to get feedback from the community.
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RT @xanamini: Anybody can run cloud LLMs — that's the past. Now with LEAP 🐸, you don’t need the cloud — just tap. No lag, no limits, no….
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RT @mlech26l: Our goal: Make running a local LLM as easy as calling a cloud API, at zero cost per token.
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RT @LiquidAI_: Fine-tune LFM2 with Axolotl. LFM2 is now officially supported by the Axolotl fine-tuning framework. It allows you to stream….
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RT @maximelabonne: You can now fine-tune LFM2 with @axolotl_ai! 🥳. Thanks to @winglian for this! You can use his notebook to smoothly SFT a….
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RT @ngxson: Trying out LFM2 350M from @LiquidAI_ and was mind-blown 🤯. The responses were very coherent. Less hallucinations compared to mo….
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RT @mlech26l: LFM2-350M running on a Raspberry Pi . with 42 tokens per second 🚀.(238 tokens per second prefill)
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