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🚀 Introducing Reactor B2B APIs: Redefine Customer Experience & Workflow Efficiency! 🚀 Elevate your business interactions with two powerhouse APIs from Reactor, tailored for seamless integration across industries. 1️⃣ Conversational AI API Transform customer service and virtual assistance with natural language capabilities that engage users on every channel: 🗣️...

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ARC

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20,770 görüntüleme • 1 yıl önce •via X (Twitter)

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IncomeSharks profil fotoğrafı
IncomeSharks1 yıl önce

Another big update, keep them coming.

What’s in yo Wallet?🧐💎🤚🏼🥷 profil fotoğrafı
What’s in yo Wallet?🧐💎🤚🏼🥷1 yıl önce

👀 bought this gem awhile ago cuz @CryptoWizardd shared it they continue to build and make alliances. If you looking for a easy 10 to 100x this cycle this is one of you best bet from this point besides $NPC that’s obviously gonna print

CHALZ 🥷(Ø,G) profil fotoğrafı
CHALZ 🥷(Ø,G)1 yıl önce

This is massive!

Jamison_gg profil fotoğrafı
Jamison_gg1 yıl önce

Well done team! Amazing job! $ARC

Gerchópolis Polis profil fotoğrafı
Gerchópolis Polis1 yıl önce

Wow great work Friends. @ARCreactorAI to the infinit

SENZ profil fotoğrafı
SENZ1 yıl önce

ARC 🔥🔥🔥

Vella profil fotoğrafı
Vella1 yıl önce

Phenomenal job team!

MadMonke.sol profil fotoğrafı
MadMonke.sol1 yıl önce

sounds like reactor is stepping up the game with those apis. streamlined service could change the whole interaction vibe

PumZ profil fotoğrafı
PumZ1 yıl önce

@ARCreactorAI $ARC starting to look more and more like a real powerhouse. Keep up the good work team 🔥💪

@chamougass base.eth (✸,✸) Gnoma 🧙‍♂️,🧙‍♂️ profil fotoğrafı
@chamougass base.eth (✸,✸) Gnoma 🧙‍♂️,🧙‍♂️1 yıl önce

Never stop building!!

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🚨 Exciting news! We've just launched in-video Text Translate, taking our video translation to the next level! 🌍🚀 Now we don't just translate your voice, we translate on-screen text too! - Automatic text detection - Instant translation to your chosen languages - AI-powered style matching Try it now at and scale your content worldwide! 🌐

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Introducing SeamlessM4T, the first all-in-one, multilingual multimodal translation model. This single model can perform tasks across speech-to-text, speech-to-speech, text-to-text translation & speech recognition for up to 100 languages depending on the task. Details ⬇️

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We just got backed by a16z a16z speedrun 🧊. We believe the next interface is natural language. We call it the Language User Interface (LUI) An interface that talks to your APIs, understands your product, and lets users get work done with natural language (thread below)
2:29

We just got backed by a16z a16z speedrun 🧊. We believe the next interface is natural language. We call it the Language User Interface (LUI) An interface that talks to your APIs, understands your product, and lets users get work done with natural language (thread below)

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0:35

Gemini 2.5 Flash Preview now supports native audio output via the Live API for seamless and natural spoken interactions. With support for 30+ voices, build conversational AI agents and experiences that feel more intuitive and natural →

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🚨 BREAKING: PaaLLM 1.0 launches THIS MONTH! The AI-powered crypto powerhouse! 🎯 Most accurate LLM in crypto (benchmark-proven) 📊 Real-Time Crypto Insights (powered by CoinGecko) 🔍 Advanced Wallet Analysis (trades, PnL, flow tracing) 🔁 Text-to-Swap — execute trades with natural language 📃 Smart Contract Analysis (scam detection, auditing, risk scoring) 👀 And much more... Your ultimate AI insider for Web3.

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Google presents AudioPaLM: A Large Language Model That Can Speak and Listen paper page: introduce AudioPaLM, a large language model for speech understanding and generation. AudioPaLM fuses text-based and speech-based language models, PaLM-2 [Anil et al., 2023] and AudioLM [Borsos et al., 2022], into a unified multimodal architecture that can process and generate text and speech with applications including speech recognition and speech-to-speech translation. AudioPaLM inherits the capability to preserve paralinguistic information such as speaker identity and intonation from AudioLM and the linguistic knowledge present only in text large language models such as PaLM-2. We demonstrate that initializing AudioPaLM with the weights of a text-only large language model improves speech processing, successfully leveraging the larger quantity of text training data used in pretraining to assist with the speech tasks. The resulting model significantly outperforms existing systems for speech translation tasks and has the ability to perform zero-shot speech-to-text translation for many languages for which input/target language combinations were not seen in training. AudioPaLM also demonstrates features of audio language models, such as transferring a voice across languages based on a short spoken prompt.
4:10

Google presents AudioPaLM: A Large Language Model That Can Speak and Listen paper page: introduce AudioPaLM, a large language model for speech understanding and generation. AudioPaLM fuses text-based and speech-based language models, PaLM-2 [Anil et al., 2023] and AudioLM [Borsos et al., 2022], into a unified multimodal architecture that can process and generate text and speech with applications including speech recognition and speech-to-speech translation. AudioPaLM inherits the capability to preserve paralinguistic information such as speaker identity and intonation from AudioLM and the linguistic knowledge present only in text large language models such as PaLM-2. We demonstrate that initializing AudioPaLM with the weights of a text-only large language model improves speech processing, successfully leveraging the larger quantity of text training data used in pretraining to assist with the speech tasks. The resulting model significantly outperforms existing systems for speech translation tasks and has the ability to perform zero-shot speech-to-text translation for many languages for which input/target language combinations were not seen in training. AudioPaLM also demonstrates features of audio language models, such as transferring a voice across languages based on a short spoken prompt.

AK

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