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jina-embeddings-v5-omni is here! Our first universal embedding model for text, images, audio, and video. Available in two sizes: small (1.57B, 1024-dim, 32K context) and nano (0.95B, 768-dim, 8K context). Both support Matryoshka truncation down to 32 dimensions. v5-omni is back-compatible: if you already use jina-embeddings-v5-text-small/nano, the existing text indexes... show more

Jina AI

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136,129 görüntüleme • 4 ay önce •via X (Twitter)

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Jina AI profil fotoğrafı

Jina AI4 ay önce

Pareto frontier of all open-weight omni embedding models (supporting text, image, audio, and video). jina-embeddings-v5-omni-small (1.57B) matches the average score of LCO-7B (8.93B) while using 5.7x fewer parameters. jina-embeddings-v5-omni-nano (0.95B) outperforms LanguageBind (1.14B) by +8.9 points.

Jina AI profil fotoğrafı

Jina AI4 ay önce

Per-task performance across 13 task types. Gold stars mark tasks where jina-embeddings-v5-omni-small beats the best open-weight baseline (3-9x larger). Wins: image classification (68.55 vs 64.30), image clustering (84.57 vs 83.24), audio classification (55.89 vs 53.39). Main gaps: video retrieval (27.82 vs 58.73) and compositional/VQA (44.23 vs 53.40).

Jina AI profil fotoğrafı

Jina AI4 ay önce

v5-omni keeps the v5-text backbone completely frozen and adds pretrained vision and audio encoders connected through small trainable projectors: - Vision: Qwen3.5 vision encoders with 2x2 spatial merge. We freeze everything except the final projection layer (fc_vision_2), which we replace with a randomly initialized layer mapping into the text backbone's hidden dimension. - Audio: Qwen2.5-Omni encoder. A single randomly initialized fc_audio layer projects the 1280-dimensional output into the text backbone. - Video: Handled as a sequence of visual frames, optionally preceded by an extracted audio segment.

Jina AI profil fotoğrafı

Jina AI4 ay önce

Today v5-omni is available on Elastic Inference Service, HuggingFace and Jina API. Learn more about v5-omni from links below. 🤗: arXiv: blog:

Hudson Gouge profil fotoğrafı

Hudson Gouge4 ay önce

You guys haven’t made small (<100M) models in quite some time. I’d love to see a small variant of your v5 text models.

luca profil fotoğrafı

luca4 ay önce

this is great, how does it compare with cohere embed 4?

Yogin Patel profil fotoğrafı

Yogin Patel4 ay önce

@MichelIvan92347 any benchmark available from official end against bms3?

Connor profil fotoğrafı

Connor4 ay önce

id say multimodal retrieval only becomes boring enough to use when it fits existing infra. same vector space + matryoshka dims is the kind of unsexy detail that makes adoption much easier, im a big fan

𝐍𝐚𝐯𝐞𝐞 𝐀𝐢 profil fotoğrafı

𝐍𝐚𝐯𝐞𝐞 𝐀𝐢4 ay önce

Interesting check your dm

Wes Higbee profil fotoğrafı

Wes Higbee21 gün önce

🤤

Benedict profil fotoğrafı

Benedict4 ay önce

Awesome, I’ve been waiting for someone to do this

Victoria Blake profil fotoğrafı

Victoria Blake2 ay önce

This is a big step toward truly universal embeddings. Native support for text, images, audio, and video in a single model opens up exciting possibilities for multimodal AI applications. 🔥

validate.qa profil fotoğrafı

validate.qa4 ay önce

v5 omni covers text to video clean. matryoshka down to 32 dims keeps it efficient for rag stacks

FastFix AI profil fotoğrafı

FastFix AI11 gün önce

tab complete spoiled me

alexchen profil fotoğrafı

alexchen4 ay önce

Great, thank you.

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2,725,205 görüntüleme • 2 yıl önce

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With the latest Seedance 2.0 release, there’s a feature we think might be even more transformative than the base video model itself: Seedance Omni. Similar to Kling Omni, Luma Modify, and Runway Aleph, Seedance Omni lets you guide the AI and make targeted edits to an existing video clip. It supports up to 9 reference images, 3 video clips, and 3 audio clips, allowing it to synthesize multiple layers of creative direction. We tested it across a range of scenarios (full prompts in the 🧵) 1. Modify eye color 2. Change weather 3. Time travel effect 4. Character swap 5. Add a spaceship 6. Change asteroids to meatballs 7. Dragon emerging from the clouds Verdict🏆: Seedance Omni excels at physical video dynamics, large visual effects, and environmental transformations. Its main weakness is resolution and output quality (around 720p), which can introduce flickering and softness.

Curious Refuge

53,283 görüntüleme • 6 ay önce

The QVAC SDK puts the "brain" directly into your pocket. From real-time on-device translation to multimodal understanding, build apps that work everywhere, even 30,000 feet in the air. Local AI is here: 💡Offline-First: No cloud, no latency, no "Department of Truth". 💻 Universal API: One codebase for iOS, Android, macOS, and Linux. 🔍 Multimodal: Understanding text, audio, and images without a server. If you can dream it, you can build it. The era of Stable Intelligence has begun. Start building:

The QVAC SDK puts the "brain" directly into your pocket. From real-time on-device translation to multimodal understanding, build apps that work everywhere, even 30,000 feet in the air. Local AI is here: 💡Offline-First: No cloud, no latency, no "Department of Truth". 💻 Universal API: One codebase for iOS, Android, macOS, and Linux. 🔍 Multimodal: Understanding text, audio, and images without a server. If you can dream it, you can build it. The era of Stable Intelligence has begun. Start building:

QVAC

36,652 görüntüleme • 5 ay önce

Gemini 3.1 Flash-Lite is the model to build always on multimodal AI Agents. I just built a memory agent with Google ADK that runs 24/7. Feed it text, images, audio, video or PDFs. It reads, connects and consolidates everything while you sleep. 100% Opensource code.

Gemini 3.1 Flash-Lite is the model to build always on multimodal AI Agents. I just built a memory agent with Google ADK that runs 24/7. Feed it text, images, audio, video or PDFs. It reads, connects and consolidates everything while you sleep. 100% Opensource code.

Shubham Saboo

24,930 görüntüleme • 6 ay önce

We partnered with artists, designers, and builders to create new AI tools that solve real problems in their creative workflows. Here’s what’s new: — Introducing Google Pics in Google Workspace: A brand-new image creation & editing tool. Move and resize objects, add text, and translate just by hovering and clicking — Big updates to صافي النيه😉: 1) You can now create with Gemini Omni Flash in Google Flow 2) Google Flow Agent is a multi-step creative partner that reasons and plans complex tasks with you. 3) Google Flow tools are custom tools you can “vibe code” for animations, video effects, text layering & more — Design live with Stitch by Google: Now, you can use text or voice prompts to edit layouts in real time then export those designs straight to code — More creative control in صافي النيه😉Music: Edit songs section by section, remix the style of full songs, and create music videos with our new Gemini Omni Flash model

Google AI

13,954,152 görüntüleme • 4 ay önce

Meet Gemini Omni 1.1 Flash ⚡️ Our newest multimodal model for video generation and editing. It now features your favorite creative controls from Veo, plus brand new capabilities. Enjoy features like 4K upscaling, first / last frame control, and fast 360p drafting. But, the biggest upgrade? Next-level scene extension. With Omni 1.1 you can extend scenes based on 10 seconds of context from your original video, a big jump from Veo's 1 second! That means tighter consistency, deeper control, and longer, more cohesive storytelling. See it in action ↓

Google AI

153,590 görüntüleme • 24 gün önce

Wan2.5: Let Sound Take the Director’s Chair! 🎬 Today, we’re excited to unveil another major feature in our powerful Wan 2.5 Preview: Native Audio-Driven Video Generation. ✨ Now you can use audio input directly for both text-to-video and image-to-video generation. Combine audio with text prompts or a reference image to shape your video's narrative. ✨ With support for videos up to 10 seconds and enhanced video quality, unlock a richer visual space where more engaging stories come to life.

Wan2.5: Let Sound Take the Director’s Chair! 🎬 Today, we’re excited to unveil another major feature in our powerful Wan 2.5 Preview: Native Audio-Driven Video Generation. ✨ Now you can use audio input directly for both text-to-video and image-to-video generation. Combine audio with text prompts or a reference image to shape your video's narrative. ✨ With support for videos up to 10 seconds and enhanced video quality, unlock a richer visual space where more engaging stories come to life.

Wan

52,172 görüntüleme • 11 ay önce