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Announcing the open-source release of Qwen3-VL! A powerful vision-language model that can operate GUIs, code charts from mockups, and recognize "everything" from daily life to specialized fields. Highlights: 🔹 Precise event location in videos up to 2 hours long. 🔹 OCR language support boosted from 19 to 32, with... show more

Tongyi Lab

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59,944 Aufrufe • vor 10 Monaten •via X (Twitter)

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We've officially released and open-sourced HunyuanImage 2.1, our latest text-to-image model. The new model delivers on our commitment to balancing performance and quality. With native 2K image generation, HunyuanImage 2.1 is an advanced open-source text-to-image model.🎨 ✨ New in 2.1: 🔹Advanced Semantics: Supports ultra-long and complex prompts of up to 1000 tokens, and precisely controls the generation of multiple subjects in a single image. 🔹Precise Chinese and English Text Rendering with seamless image–text integration: The model naturally integrates text into images, making it suitable for a wide range of applications such as product covers, illustrations, and poster design to meet the needs of various fields. 🔹Rich Styles and High Aesthetic: Capable of generating images in various styles—including photorealistic portraits, comics, and vinyl figures—it delivers outstanding visual appeal and artistic quality. 🔹High-Quality Generation: Efficiently produces ultra-high-definition (2K) images in the same time other models take to generate a 1K image. HunyuanImage 2.1 uses two text encoders: a multimodal large language model (MLLM) to improve the model's image and text alignment capabilities, and a multi-language character-aware encoder to improve text rendering capabilities. The model is a single- and double-stream diffusion transformer with 17B parameters. We've also open-sourced the weights of the the accelerated version with meanflow which reduces inference steps from 100 to just 8, and PromptEnhancer, the first industrial-grade rewriting model that enhances your prompts for more nuanced and expressive image generation. Now, creators turn complex ideas—like posters with slogans or multi-panel comics—into visuals faster than ever. We’re just getting started. Stay tuned for our native multimodal image generation model coming soon. 🌐Website: 🔗Github: 🤗Hugging Face: ✨Hugging Face Demo:

We've officially released and open-sourced HunyuanImage 2.1, our latest text-to-image model. The new model delivers on our commitment to balancing performance and quality. With native 2K image generation, HunyuanImage 2.1 is an advanced open-source text-to-image model.🎨 ✨ New in 2.1: 🔹Advanced Semantics: Supports ultra-long and complex prompts of up to 1000 tokens, and precisely controls the generation of multiple subjects in a single image. 🔹Precise Chinese and English Text Rendering with seamless image–text integration: The model naturally integrates text into images, making it suitable for a wide range of applications such as product covers, illustrations, and poster design to meet the needs of various fields. 🔹Rich Styles and High Aesthetic: Capable of generating images in various styles—including photorealistic portraits, comics, and vinyl figures—it delivers outstanding visual appeal and artistic quality. 🔹High-Quality Generation: Efficiently produces ultra-high-definition (2K) images in the same time other models take to generate a 1K image. HunyuanImage 2.1 uses two text encoders: a multimodal large language model (MLLM) to improve the model's image and text alignment capabilities, and a multi-language character-aware encoder to improve text rendering capabilities. The model is a single- and double-stream diffusion transformer with 17B parameters. We've also open-sourced the weights of the the accelerated version with meanflow which reduces inference steps from 100 to just 8, and PromptEnhancer, the first industrial-grade rewriting model that enhances your prompts for more nuanced and expressive image generation. Now, creators turn complex ideas—like posters with slogans or multi-panel comics—into visuals faster than ever. We’re just getting started. Stay tuned for our native multimodal image generation model coming soon. 🌐Website: 🔗Github: 🤗Hugging Face: ✨Hugging Face Demo:

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We’re open-sourcing HY-World 2.0, a multimodal world model that generates, reconstructs, and simulates interactive *3D worlds* from text, images, and videos. Outputs can be integrated into game engines and embodied simulation pipelines. Key highlights: 🔹 One-click world generation Turn text or image into interactive 3D worlds automatically. 🔹 Pipeline-ready 3D outputs Editable 3D worlds for Unity and Unreal Engine, with standard 3D exports including mesh, 3DGS, and point clouds. 🔹 Unified world model system One model family for world generation and reconstruction across synthetic and real-world scenes. 🔹 Interactive character mode Explore generated 3D worlds in real time with physics-aware movement and collision support. ✨ Apply for access: 🔗 GitHub: 🤗 Hugging Face: 📄 Technical Report:

We’re open-sourcing HY-World 2.0, a multimodal world model that generates, reconstructs, and simulates interactive 3D worlds from text, images, and videos. Outputs can be integrated into game engines and embodied simulation pipelines. Key highlights: 🔹 One-click world generation Turn text or image into interactive 3D worlds automatically. 🔹 Pipeline-ready 3D outputs Editable 3D worlds for Unity and Unreal Engine, with standard 3D exports including mesh, 3DGS, and point clouds. 🔹 Unified world model system One model family for world generation and reconstruction across synthetic and real-world scenes. 🔹 Interactive character mode Explore generated 3D worlds in real time with physics-aware movement and collision support. ✨ Apply for access: 🔗 GitHub: 🤗 Hugging Face: 📄 Technical Report:

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We're releasing HY-Embodied-0.5, a family of foundation models for real-world embodied agents. The 2B model is now open source. It strengthens spatial-temporal perception and embodied reasoning for prediction, interaction, and planning. 🤖 The suite includes: 🔹 2B for edge deployment 🔹 32B for complex reasoning Key innovations: 🔹 Mixture-of-Transformers (MoT) architecture for modality-specific computation 🔹 Latent tokens for improved perceptual representation 🔹 Self-evolving post-training 🔹 On-policy distillation from large to small models Across 22 benchmarks, the 2B model outperforms similarly sized SOTA systems on 16 tasks. The 32B model approaches frontier-level performance. 🔗 GitHub: 🤗 Hugging Face:

We're releasing HY-Embodied-0.5, a family of foundation models for real-world embodied agents. The 2B model is now open source. It strengthens spatial-temporal perception and embodied reasoning for prediction, interaction, and planning. 🤖 The suite includes: 🔹 2B for edge deployment 🔹 32B for complex reasoning Key innovations: 🔹 Mixture-of-Transformers (MoT) architecture for modality-specific computation 🔹 Latent tokens for improved perceptual representation 🔹 Self-evolving post-training 🔹 On-policy distillation from large to small models Across 22 benchmarks, the 2B model outperforms similarly sized SOTA systems on 16 tasks. The 32B model approaches frontier-level performance. 🔗 GitHub: 🤗 Hugging Face:

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🚀🚀🚀Introducing HY World 1.5 (WorldPlay)! We have now open-sourced the most systemized, comprehensive real-time world model framework in the industry. In HY World 1.5, we develop WorldPlay, a streaming video diffusion model that enables real-time, interactive world modeling with long-term geometric consistency, resolving the trade-off between speed and memory that limits current methods. You can generate and explore 3D worlds simply by inputting text or images. Walk, look around, and interact like you're playing a game. Highlights: 🔹Real-Time: Generates long-horizon streaming video at 24 FPS with superior consistency. 🔹Geometric Consistency: Achieved using a Reconstituted Context Memory mechanism to dynamically rebuild context from past frames to alleviate memory attenuation 🔹Robust Control: Uses a Dual Action Representation for robust response to user keyboard and mouse inputs. 🔹Versatile Applications: Supports both first-person and third-person perspectives, enabling applications like promptable events and infinite world extension. 👉🏻Try it now: 🌐Project Page: 🔗Github: 🤗Hugging Face: 📄Technical Report:

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BenFen

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New Sci-Fi FPS from the developer of Escape from Tarkov "COR3" announced 🔹Set on Mars in the year 2251 🔹You are a private investigator for “History Unfolded", a mysterious company with no identity 🔹They call you an "Executor" who is tasked with investigating the possibility of uncovering files related to experiments that started in year 2170 🔹Managed by a "Handler" named Aurora Strogova, not allowed to contact the "Hirer" or you'll be harmed 🔹Can hire additional help to assist you with the job 🔹There are major factions and companies in the game...SOYUZ, CORE, Terra Mater, Cult of Mars, Astrocorp, United Solar, etc 🔹Fossil Fuels replaced by NIC batteries, which in early days caused incidents and explosions equivalent to 1 ton of TNT - which was abused by radical terrorists 🔹Investigate events like a lost cargo freighter in deep space with bodies on it, weapons experiments, agricultural stations with advanced facilities, and a Sky Lift that detached from a planet 🔹New access terminal called CORIE players can access right now that provides a ton of information, daily decoding tasks, and also has restricted areas

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Game Hunter 🔜 GAMESCOM

404,106 Aufrufe • vor 6 Monaten

✨We are excited to open-source Tencent HY-Motion 1.0, a billion-parameter text-to-motion model built on the Diffusion Transformer (DiT) architecture and flow matching. Tencent HY-Motion 1.0 empowers developers and individual creators alike by transforming natural language into high-fidelity, fluid, and diverse 3D character animations, delivering exceptional instruction-following capabilities across a broad range of categories. The generated 3D animation assets can be seamlessly integrated into typical 3D animation pipelines.🎮🎥 Highlights: 🔹Billion-Scale DiT: Successfully scaled flow-matching DiT to 1B+ parameters, setting a new ceiling for instruction-following capability and generated motion quality. 🔹Full-Stage Training Strategy: The industry’s first motion generation model featuring a complete Pre-training → SFT → RL loop to optimize physical plausibility and semantic accuracy. 🔹Comprehensive Category Coverage: Features 200+ motion categories across 6 major classes—the most comprehensive in the industry, curated via a meticulous data pipeline. 🌐Project Page: 🔗Github: 🤗Hugging Face: 📄Technical report:

✨We are excited to open-source Tencent HY-Motion 1.0, a billion-parameter text-to-motion model built on the Diffusion Transformer (DiT) architecture and flow matching. Tencent HY-Motion 1.0 empowers developers and individual creators alike by transforming natural language into high-fidelity, fluid, and diverse 3D character animations, delivering exceptional instruction-following capabilities across a broad range of categories. The generated 3D animation assets can be seamlessly integrated into typical 3D animation pipelines.🎮🎥 Highlights: 🔹Billion-Scale DiT: Successfully scaled flow-matching DiT to 1B+ parameters, setting a new ceiling for instruction-following capability and generated motion quality. 🔹Full-Stage Training Strategy: The industry’s first motion generation model featuring a complete Pre-training → SFT → RL loop to optimize physical plausibility and semantic accuracy. 🔹Comprehensive Category Coverage: Features 200+ motion categories across 6 major classes—the most comprehensive in the industry, curated via a meticulous data pipeline. 🌐Project Page: 🔗Github: 🤗Hugging Face: 📄Technical report:

Tencent Hy

328,718 Aufrufe • vor 7 Monaten

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Arena.ai

122,525 Aufrufe • vor 1 Jahr

Thank you AK for sharing! Introducing our newest CVPR 2025 paper EgoLife: Towards Egocentric Life Assistant Homepage: Blog: Code: EgoLife is a project focused on building AI-powered egocentric life assistants. We invited 6 volunteers to live together for 7 days, capturing daily activities Project Aria @Meta smart glasses, which inspire 3K+ life-oriented, long-context Q&A pairs, and the development of EgoButler. 🔍 Meet EgoButler—our AI system that seamlessly integrates: 🧠 EgoGPT: A state-of-the-art vision-language model 📚 EgoRAG: A retrieval-augmented system for ultra-long-context queries EgoButler unlocks powerful capabilities, including: 🔹 Recall forgotten details from past experiences 🔹 Suggest plans by analyzing past events holistically 🔹 Reveal hidden habits users may overlook 🔹 Enhance relationships by tracking social interactions Checkout our code, dataset, and demo: Code: Data: Demo: Together Let's pioneering the next era of AI companionship! #AI #EgocentricAI #EgoLife

Thank you AK for sharing! Introducing our newest CVPR 2025 paper EgoLife: Towards Egocentric Life Assistant Homepage: Blog: Code: EgoLife is a project focused on building AI-powered egocentric life assistants. We invited 6 volunteers to live together for 7 days, capturing daily activities Project Aria @Meta smart glasses, which inspire 3K+ life-oriented, long-context Q&A pairs, and the development of EgoButler. 🔍 Meet EgoButler—our AI system that seamlessly integrates: 🧠 EgoGPT: A state-of-the-art vision-language model 📚 EgoRAG: A retrieval-augmented system for ultra-long-context queries EgoButler unlocks powerful capabilities, including: 🔹 Recall forgotten details from past experiences 🔹 Suggest plans by analyzing past events holistically 🔹 Reveal hidden habits users may overlook 🔹 Enhance relationships by tracking social interactions Checkout our code, dataset, and demo: Code: Data: Demo: Together Let's pioneering the next era of AI companionship! #AI #EgocentricAI #EgoLife

Jingkang (Jake) Yang

35,444 Aufrufe • vor 1 Jahr

Guardians of the Wild Sky is a new survival-crafting game like Pokémon and Palworld 🔹The world is inhabited by creatures called "Guardians" that you can capture and bond with using capture crystals 🔹Guardians help with exploration via flying, surfing, and gliding 🔹Also used in combat, and automating base tasks such as farming, crafting, and resource harvesting 🔹Fight alongside your Guardians, issue commands, or SHAPESHIFT into them to wield their powers directly. 🔹Build bases - you can even construct flying castles to move your entire base to new locations 🔹Use airships for faster travel and exploration. You can build crafting stations, cook, and farm directly on your ship 🔹Team up with friends to crew ships, man cannons, and execute coordinated assaults on enemies from both air and ground 🔹Discover towns, trade with merchants, and uncover ancient mysteries 🔹Demo available during Steam Next Fest

Guardians of the Wild Sky is a new survival-crafting game like Pokémon and Palworld 🔹The world is inhabited by creatures called "Guardians" that you can capture and bond with using capture crystals 🔹Guardians help with exploration via flying, surfing, and gliding 🔹Also used in combat, and automating base tasks such as farming, crafting, and resource harvesting 🔹Fight alongside your Guardians, issue commands, or SHAPESHIFT into them to wield their powers directly. 🔹Build bases - you can even construct flying castles to move your entire base to new locations 🔹Use airships for faster travel and exploration. You can build crafting stations, cook, and farm directly on your ship 🔹Team up with friends to crew ships, man cannons, and execute coordinated assaults on enemies from both air and ground 🔹Discover towns, trade with merchants, and uncover ancient mysteries 🔹Demo available during Steam Next Fest

Game Hunter 🔜 GAMESCOM

247,286 Aufrufe • vor 5 Monaten

Excited to announce GR00T N1, the world’s first open foundation model for humanoid robots! We are on a mission to democratize Physical AI. The power of general robot brain, in the palm of your hand - with only 2B parameters, N1 learns from the most diverse physical action dataset ever compiled and punches above its weight: - Real humanoid teleoperation data. - Large-scale simulation data: we are open-sourcing 300K+ trajectories! - Neural trajectories: we apply SOTA video generation models to “hallucinate” new synthetic data that features accurate physics in pixels. Using Jensen’s words, “systematically infinite data”! - Latent actions: we develop novel algorithms to extract action tokens from in-the-wild human videos and neural generated videos. GR00T N1 is a single end-to-end neural net, from photons to actions: - Vision-Language Model (System 2) that interprets the physical world through vision and language instructions, enabling robots to reason about their environment and instructions, and plan the right actions. - Diffusion Transformer (System 1) that “renders” smooth and precise motor actions at 120 Hz, executing the latent plan made by System 2. We deploy N1 on GR1 robot, 1X Neo robot, and a large collection of simulation benchmarks. N1 achieves up to +30% boost in diverse manipulation tasks for household and industrial settings. While humanoid robots are the main focus of N1, our model also supports cross-embodiment. We finetune it to work on the $110 HuggingFace LeRobot SO100 robot arm! Open robot brain runs on open hardware. Sounds just right. Let’s solve robotics, together, one token at a time. Links to our Whitepaper, Github repo, HuggingFace model, and open dataset page in the thread: 🧵

Excited to announce GR00T N1, the world’s first open foundation model for humanoid robots! We are on a mission to democratize Physical AI. The power of general robot brain, in the palm of your hand - with only 2B parameters, N1 learns from the most diverse physical action dataset ever compiled and punches above its weight: - Real humanoid teleoperation data. - Large-scale simulation data: we are open-sourcing 300K+ trajectories! - Neural trajectories: we apply SOTA video generation models to “hallucinate” new synthetic data that features accurate physics in pixels. Using Jensen’s words, “systematically infinite data”! - Latent actions: we develop novel algorithms to extract action tokens from in-the-wild human videos and neural generated videos. GR00T N1 is a single end-to-end neural net, from photons to actions: - Vision-Language Model (System 2) that interprets the physical world through vision and language instructions, enabling robots to reason about their environment and instructions, and plan the right actions. - Diffusion Transformer (System 1) that “renders” smooth and precise motor actions at 120 Hz, executing the latent plan made by System 2. We deploy N1 on GR1 robot, 1X Neo robot, and a large collection of simulation benchmarks. N1 achieves up to +30% boost in diverse manipulation tasks for household and industrial settings. While humanoid robots are the main focus of N1, our model also supports cross-embodiment. We finetune it to work on the $110 HuggingFace LeRobot SO100 robot arm! Open robot brain runs on open hardware. Sounds just right. Let’s solve robotics, together, one token at a time. Links to our Whitepaper, Github repo, HuggingFace model, and open dataset page in the thread: 🧵

Jim Fan

466,261 Aufrufe • vor 1 Jahr

Since the dawn of time, economies were powered by labor. Now, we’re entering a new age where AI becomes the workforce, and data + compute are the new raw materials. Enter $KAI in the lifeblood of new global autonomous capital markets. 💮 Ecosystem Plan - 💮 Token Ecosystem - 👇 ⸻ 2/ $KAI isn’t just a token. It’s a complete economic engine designed to: 🔹 Power products 🔹 Fuel agent networks 🔹 Incentivize data 🔹 Govern EQ+ infrastructure 🔹 Scale emotionally intelligent AI Here’s how it works 🧵 ⸻ 3/ Tokenomics (1B $KAI total supply): 🔹 Team – 10% (vested) 🔹 Ecosystem Fund – 30% (growth + integrations) 🔹 Incentives – 15% (UGC, quests, data) 🔹 Partnerships & Advisors – 15% 🔹Liquidity – 30% (initial trading on DEX/CEX) Vested. Scarce. Sustainable. ⸻ 4/ Market Dynamics: ~300M tokens in early circulation 🔹Liquidity on DEX + CEX 🔹Governance via staking 🔹5–15% deflation from fees + burns 🔹Modeled to drive long-term value via ecosystem velocity ⸻ 5/ Utility: 🔹 Arc Terminal – Stake $KAI to analyze sentiment across Web3, politics, culture 🔹 EQ+ API – Pay + stake to embed emotional intelligence in AI agents 🔹 █████ – Future-ready staking for sovereign AI workflows (TBA) Every product reinforces token lockups + value flow. ⸻ 6/ Circular Incentive Model: Fees → 🔹 70% to treasury 🔹 25% to rewards 🔹 5% burned 🔹Contribute data → earn $KAI 🔹Proof-of-Empathy → Incentivize unique, emotionally rich inputs Deflation + utility = sustainable ecosystem flywheel. ⸻ 7/ Roadmap: 🔹 Q3-Q4 2025 – Mint, Arc Terminal beta, staking 🔹 Q1-Q2 2026 – API v2, █████ beta, Kaiko Hub: leading AI ecosystem in UAE 🔹 Q3/Q4 2026+ – Scale to 1M+ agents, cross-industry integrations (health, edu, media) Emotion becomes infrastructure. And it scales. ⸻ 8/ TL;DR: $KAI powers the next evolution of AI economies. From empathy loops to agent networks. From data feedback to decentralized governance. This is not just about tokens. It’s about rebuilding value itself. 💮

Since the dawn of time, economies were powered by labor. Now, we’re entering a new age where AI becomes the workforce, and data + compute are the new raw materials. Enter $KAI in the lifeblood of new global autonomous capital markets. 💮 Ecosystem Plan - 💮 Token Ecosystem - 👇 ⸻ 2/ $KAI isn’t just a token. It’s a complete economic engine designed to: 🔹 Power products 🔹 Fuel agent networks 🔹 Incentivize data 🔹 Govern EQ+ infrastructure 🔹 Scale emotionally intelligent AI Here’s how it works 🧵 ⸻ 3/ Tokenomics (1B $KAI total supply): 🔹 Team – 10% (vested) 🔹 Ecosystem Fund – 30% (growth + integrations) 🔹 Incentives – 15% (UGC, quests, data) 🔹 Partnerships & Advisors – 15% 🔹Liquidity – 30% (initial trading on DEX/CEX) Vested. Scarce. Sustainable. ⸻ 4/ Market Dynamics: ~300M tokens in early circulation 🔹Liquidity on DEX + CEX 🔹Governance via staking 🔹5–15% deflation from fees + burns 🔹Modeled to drive long-term value via ecosystem velocity ⸻ 5/ Utility: 🔹 Arc Terminal – Stake $KAI to analyze sentiment across Web3, politics, culture 🔹 EQ+ API – Pay + stake to embed emotional intelligence in AI agents 🔹 █████ – Future-ready staking for sovereign AI workflows (TBA) Every product reinforces token lockups + value flow. ⸻ 6/ Circular Incentive Model: Fees → 🔹 70% to treasury 🔹 25% to rewards 🔹 5% burned 🔹Contribute data → earn $KAI 🔹Proof-of-Empathy → Incentivize unique, emotionally rich inputs Deflation + utility = sustainable ecosystem flywheel. ⸻ 7/ Roadmap: 🔹 Q3-Q4 2025 – Mint, Arc Terminal beta, staking 🔹 Q1-Q2 2026 – API v2, █████ beta, Kaiko Hub: leading AI ecosystem in UAE 🔹 Q3/Q4 2026+ – Scale to 1M+ agents, cross-industry integrations (health, edu, media) Emotion becomes infrastructure. And it scales. ⸻ 8/ TL;DR: $KAI powers the next evolution of AI economies. From empathy loops to agent networks. From data feedback to decentralized governance. This is not just about tokens. It’s about rebuilding value itself. 💮

KAIKO

37,495 Aufrufe • vor 1 Jahr

We’re excited to announce the release and open-source of HunyuanImage 3.0 — the largest and most powerful open-source text-to-image model to date, with over 80 billion total parameters, of which 13 billion are activated per token during inference.The effect is completely comparable to the industry’s flagship closed-source model.🚀🚀🚀 HunyuanImage 3.0 originates from our internally developed native multimodal large language model, with fine-tuning and post-training focused on text-to-image generation. This unique foundation gives the model a powerful set of capabilities: ✅Reason with world knowledge ✅Understand complex, thousand-word prompts ✅Generate precise text within images Different from traditional DiT architecture image generation models, HunyuanImage 3.0’s MoE architecture uses a Transfusion-based approach to deeply couple Diffusion and LLM training for a single, powerful system. Built on Hunyuan-A13B, HunyuanImage 3.0 was trained on a massive dataset: 5 billion image-text pairs, video frames, interleaved image-text data, and 6 trillion tokens of text corpora. This hybrid training across multimodal generation, understanding, and LLM capabilities allows the model to seamlessly integrate multiple tasks. Whether you're an illustrator, designer, or creator, this is built to slash your workflow from hours to minutes. HunyuanImage 3.0 can generate intricate text, detailed comics, expressive emojis, and lively, engaging illustrations for educational content. The current release focuses solely on text-to-image generation and future updates will include image-to-image, image editing, multi-turn interaction, and more. 👉🏻Try it now: 🔗GitHub: 🤗Hugging Face:

We’re excited to announce the release and open-source of HunyuanImage 3.0 — the largest and most powerful open-source text-to-image model to date, with over 80 billion total parameters, of which 13 billion are activated per token during inference.The effect is completely comparable to the industry’s flagship closed-source model.🚀🚀🚀 HunyuanImage 3.0 originates from our internally developed native multimodal large language model, with fine-tuning and post-training focused on text-to-image generation. This unique foundation gives the model a powerful set of capabilities: ✅Reason with world knowledge ✅Understand complex, thousand-word prompts ✅Generate precise text within images Different from traditional DiT architecture image generation models, HunyuanImage 3.0’s MoE architecture uses a Transfusion-based approach to deeply couple Diffusion and LLM training for a single, powerful system. Built on Hunyuan-A13B, HunyuanImage 3.0 was trained on a massive dataset: 5 billion image-text pairs, video frames, interleaved image-text data, and 6 trillion tokens of text corpora. This hybrid training across multimodal generation, understanding, and LLM capabilities allows the model to seamlessly integrate multiple tasks. Whether you're an illustrator, designer, or creator, this is built to slash your workflow from hours to minutes. HunyuanImage 3.0 can generate intricate text, detailed comics, expressive emojis, and lively, engaging illustrations for educational content. The current release focuses solely on text-to-image generation and future updates will include image-to-image, image editing, multi-turn interaction, and more. 👉🏻Try it now: 🔗GitHub: 🤗Hugging Face:

Tencent Hy

412,658 Aufrufe • vor 10 Monaten

🚀 The team at Google DeepMind just released Gemini Embedding 2, a frontier embeddings model with 3072 dimensions and state-of-the-art semantic quality. 👩‍💻 We built a demo showing how to integrate it across the LlamaIndex ecosystem, from LlamaParse to LlamaAgents: 𝗮𝘂𝗱𝗶𝗼-𝗸𝗯, a knowledge base for your audio notes. With audio-kb, you can: 🔹 Upload an MP3 or record directly from your terminal 🔹 LlamaParse extracts the transcript from the audio 🔹 Gemini Embedding 2 generates embeddings 🔹 Metadata + vectors are stored in SurrealDB and indexed with HNSW 🔍 Once ingested, you can search all your audio notes directly from the terminal. 🎙️ Perfect for turning voice memos, meetings, or lectures into a searchable knowledge base. 📖 Full blog: 💻 GitHub: ⚡ Try LlamaParse:

🚀 The team at Google DeepMind just released Gemini Embedding 2, a frontier embeddings model with 3072 dimensions and state-of-the-art semantic quality. 👩‍💻 We built a demo showing how to integrate it across the LlamaIndex ecosystem, from LlamaParse to LlamaAgents: 𝗮𝘂𝗱𝗶𝗼-𝗸𝗯, a knowledge base for your audio notes. With audio-kb, you can: 🔹 Upload an MP3 or record directly from your terminal 🔹 LlamaParse extracts the transcript from the audio 🔹 Gemini Embedding 2 generates embeddings 🔹 Metadata + vectors are stored in SurrealDB and indexed with HNSW 🔍 Once ingested, you can search all your audio notes directly from the terminal. 🎙️ Perfect for turning voice memos, meetings, or lectures into a searchable knowledge base. 📖 Full blog: 💻 GitHub: ⚡ Try LlamaParse:

LlamaIndex 🦙

34,881 Aufrufe • vor 4 Monaten

🚨Update! Our new demo is LIVE 🚨 In this demo, we walk through the core features of Intelligence Cubed, a next-generation AI model platform built for research, experimentation, and ownership. 🔹 500+ Research Models Intelligence Cubed has grown from 200+ to 506 models, contributed by our expanding Research Fellow Cohort, including researchers, PhDs, and post-docs from Stanford, CMU, Harvard, MIT, and other top U.S. institutions. 🔹 Model Cards & Research Transparency Each model is linked to its original research paper and includes a detailed model card outlining its purpose, use cases, category, pricing, market traction, reviews, and public ownership percentage. 🔹 1.2M Public-Owned Models We’ve introduced Public-Owned Models, with over 1.2 million models available — all fully documented with research papers and comprehensive model cards. 🔹 Auto Router Not sure which model to use? Our Auto Router analyzes your question and automatically routes it to the most suitable model. In this demo, it selects an LLM Detection Survey model to answer the query. 🔹 Modelverse, Canvas & Workflows Users can explore models in Modelverse, try them instantly, add favorites to cart, and deploy purchased models in Canvas using drag-and-drop to build custom workflows. We also provide professionally curated workflows for immediate hands-on experience. 👉Try Now: #AI #Web3 #AIModel #DeFi #blockchain #LLM #OpenSourceAI #AIxWeb3 #DeAI #IntelligenceCubed

🚨Update! Our new demo is LIVE 🚨 In this demo, we walk through the core features of Intelligence Cubed, a next-generation AI model platform built for research, experimentation, and ownership. 🔹 500+ Research Models Intelligence Cubed has grown from 200+ to 506 models, contributed by our expanding Research Fellow Cohort, including researchers, PhDs, and post-docs from Stanford, CMU, Harvard, MIT, and other top U.S. institutions. 🔹 Model Cards & Research Transparency Each model is linked to its original research paper and includes a detailed model card outlining its purpose, use cases, category, pricing, market traction, reviews, and public ownership percentage. 🔹 1.2M Public-Owned Models We’ve introduced Public-Owned Models, with over 1.2 million models available — all fully documented with research papers and comprehensive model cards. 🔹 Auto Router Not sure which model to use? Our Auto Router analyzes your question and automatically routes it to the most suitable model. In this demo, it selects an LLM Detection Survey model to answer the query. 🔹 Modelverse, Canvas & Workflows Users can explore models in Modelverse, try them instantly, add favorites to cart, and deploy purchased models in Canvas using drag-and-drop to build custom workflows. We also provide professionally curated workflows for immediate hands-on experience. 👉Try Now: #AI #Web3 #AIModel #DeFi #blockchain #LLM #OpenSourceAI #AIxWeb3 #DeAI #IntelligenceCubed

i³ (Intelligence Cubed)

116,576 Aufrufe • vor 6 Monaten

🎉 恭喜发财🧧🐍 As we welcome the Chinese New Year, we're thrilled to announce the launch of Qwen2.5-VL , our latest flagship vision-language model! 🚀 💗 Qwen Chat: 📖 Blog: 🤗 Hugging Face: 🤖 ModelScope: 🌟 Key Highlights: * Visual Understanding : From flowers to complex charts, Qwen2.5-VL sees it all! * Agentic Capabilities : It’s a visual agent that can reason and interact with tools like computers & phones. * Long Video Comprehension : Captures events in videos over 1 hour long! ⏳🎥 * Precise Localization : Generates bounding boxes & JSON outputs for accurate object detection. * Structured Data Outputs : Perfect for finance & commerce, handling invoices, forms & more! 💼📊 Try Qwen2.5-VL now at Qwen Chat or explore models on Hugging Face & ModelScope . 🌐

🎉 恭喜发财🧧🐍 As we welcome the Chinese New Year, we're thrilled to announce the launch of Qwen2.5-VL , our latest flagship vision-language model! 🚀 💗 Qwen Chat: 📖 Blog: 🤗 Hugging Face: 🤖 ModelScope: 🌟 Key Highlights: * Visual Understanding : From flowers to complex charts, Qwen2.5-VL sees it all! * Agentic Capabilities : It’s a visual agent that can reason and interact with tools like computers & phones. * Long Video Comprehension : Captures events in videos over 1 hour long! ⏳🎥 * Precise Localization : Generates bounding boxes & JSON outputs for accurate object detection. * Structured Data Outputs : Perfect for finance & commerce, handling invoices, forms & more! 💼📊 Try Qwen2.5-VL now at Qwen Chat or explore models on Hugging Face & ModelScope . 🌐

Qwen

762,450 Aufrufe • vor 1 Jahr

We are introducing Hunyuan3D-Part: an open-source part-level 3D shape generation model that outperforms all existing open and close-source models. Highlights: 🔹P3-SAM: The industry's first native 3D part segmentation model. 🔹X-Part: A part generation model that achieves state-of-the-art results in controllability and shape quality. Key-features: 1️⃣Eliminates the use of 2D SAM during training, relying solely on a large-scale dataset with 3.7 million shapes and clean part annotations. 2️⃣Introduces a new automated segmentation pipeline in 3D without user intervention. 3️⃣Implements a diffusion-based part decomposition pipeline utilizing both geometry and semantic clues. Code: Weights: Tech reports: 🔸P3-SAM： → Paper: → Project page: 🔸X-Part： → Paper: → Project page: Try it now： → (Light version) Hugging Face demo: → (Full version) Hunyuan3D Studio:

We are introducing Hunyuan3D-Part: an open-source part-level 3D shape generation model that outperforms all existing open and close-source models. Highlights: 🔹P3-SAM: The industry's first native 3D part segmentation model. 🔹X-Part: A part generation model that achieves state-of-the-art results in controllability and shape quality. Key-features: 1️⃣Eliminates the use of 2D SAM during training, relying solely on a large-scale dataset with 3.7 million shapes and clean part annotations. 2️⃣Introduces a new automated segmentation pipeline in 3D without user intervention. 3️⃣Implements a diffusion-based part decomposition pipeline utilizing both geometry and semantic clues. Code: Weights: Tech reports: 🔸P3-SAM： → Paper: → Project page: 🔸X-Part： → Paper: → Project page: Try it now： → (Light version) Hugging Face demo: → (Full version) Hunyuan3D Studio:

Tencent Hy

72,522 Aufrufe • vor 10 Monaten