Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

1.🚀 Baidu’s ERNIE 4.5 VL-28B-A3B-Thinking — an open-source MoE beast. With just 3B active params, it delivers SOTA multimodal reasoning: visual logic (MathVista 72.6), grounding, tool-calling, and more. The full family spans 12 models (0.3B → 424B). 🔗 Try it here: 💬 What’s your favorite “Thinking Mode” trick? #ERNIE45 #MultimodalAI

Helena AI

5,476 subscribers

53,547 views • 6 months ago •via X (Twitter)

Education News & Politics Science & Technology

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Qwen3.5 is here 🚀 397B params, just 17B active. Native multimodal agents for coding, reasoning, GUI + video. 200+ languages. Open weights. Real scale. The next frontier is open. 🔗

Qwen3.5 is here 🚀 397B params, just 17B active. Native multimodal agents for coding, reasoning, GUI + video. 200+ languages. Open weights. Real scale. The next frontier is open. 🔗

Hugging Models

107,897 views • 4 months ago

We've just unveiled ERNIE 4.5 & X1! 🚀 As a deep-thinking reasoning model with multimodal capabilities, ERNIE X1 delivers performance on par with DeepSeek R1 at only half the price. Meanwhile, ERNIE 4.5 is our latest foundation model and new-generation native multimodal model. Plus, our AI chatbot ERNIE Bot has now been made free to individual users ahead of schedule. Both models are now freely accessible to all ERNIE Bot users via its official website:

We've just unveiled ERNIE 4.5 & X1! 🚀 As a deep-thinking reasoning model with multimodal capabilities, ERNIE X1 delivers performance on par with DeepSeek R1 at only half the price. Meanwhile, ERNIE 4.5 is our latest foundation model and new-generation native multimodal model. Plus, our AI chatbot ERNIE Bot has now been made free to individual users ahead of schedule. Both models are now freely accessible to all ERNIE Bot users via its official website:

Baidu Inc.

1,711,815 views • 1 year ago

China just broke the AI industry. Yesterday, Baidu open-sourced their Ernie 4.5. This 424 billion parameter model beats GPT-4o. And it's completely FREE to use. Here's how to get started: → Download from HuggingFace today → Choose Ernie-4.5-VL-424B for multimodal → Or Ernie-4.5-300B for text tasks → Run locally with enough compute → Access through Baidu's API too The model excels at: • Document analysis (93.1% DocVQA score) • Visual math reasoning (78.9% Math Vista) • Chart understanding (86.8% ChartQA) Save this video, you'll need it. Want the SOP? DM me. 💬

China just broke the AI industry. Yesterday, Baidu open-sourced their Ernie 4.5. This 424 billion parameter model beats GPT-4o. And it's completely FREE to use. Here's how to get started: → Download from HuggingFace today → Choose Ernie-4.5-VL-424B for multimodal → Or Ernie-4.5-300B for text tasks → Run locally with enough compute → Access through Baidu's API too The model excels at: • Document analysis (93.1% DocVQA score) • Visual math reasoning (78.9% Math Vista) • Chart understanding (86.8% ChartQA) Save this video, you'll need it. Want the SOP? DM me. 💬

Julian Goldie SEO

73,184 views • 1 year ago

Alibaba just open-sourced Qwen 3.6-35B A3B 35B MoE model (only ~3B active), multimodal, agentic coding, Apache 2.0. This isn’t just efficient—it’s built for real workflows. Open models are catching up fast.

Alibaba just open-sourced Qwen 3.6-35B A3B 35B MoE model (only ~3B active), multimodal, agentic coding, Apache 2.0. This isn’t just efficient—it’s built for real workflows. Open models are catching up fast.

Mervin Praison

13,063 views • 2 months ago

Qwen3-Next (thinking & non-thinking) are now live in BF16 at Hyperbolic! Qwen3-Next is a huge efficiency leap: - 80B MoE with just 3B active params - 10x cheaper to train vs Qwen3-32B - 10x inference throughput for >32K tokens Proud to be a launch partner with Qwen - kudos to this amazing team for keeping pushing open-source AI forward. We’re the first to serve Qwen3-Next on Hugging Face. Give it a try!

Qwen3-Next (thinking & non-thinking) are now live in BF16 at Hyperbolic! Qwen3-Next is a huge efficiency leap: - 80B MoE with just 3B active params - 10x cheaper to train vs Qwen3-32B - 10x inference throughput for >32K tokens Proud to be a launch partner with Qwen - kudos to this amazing team for keeping pushing open-source AI forward. We’re the first to serve Qwen3-Next on Hugging Face. Give it a try!

Yuchen Jin

84,342 views • 10 months ago

Kimi K2 Thinking is here! Scale up reasoning with more thinking tokens and tool-call steps. Now live on the Kimi app, and API.

Kimi K2 Thinking is here! Scale up reasoning with more thinking tokens and tool-call steps. Now live on the Kimi app, and API.

Kimi.ai

138,454 views • 8 months ago

A new frontier AI model just dropped on OpenRouter and it’s free. Pony Alpha delivers 200k context, visible reasoning, adjustable thinking depth, and agent-ready tool calling that rivals (and beats) Opus 4.5 in benchmarks. This one’s serious.

A new frontier AI model just dropped on OpenRouter and it’s free. Pony Alpha delivers 200k context, visible reasoning, adjustable thinking depth, and agent-ready tool calling that rivals (and beats) Opus 4.5 in benchmarks. This one’s serious.

Mervin Praison

23,400 views • 4 months ago

HunyuanImage 3.0 is officially here. It's the first open-source model with industrial-grade native multimodal architecture and delivers instant, high-quality visual content for every designer and content creator. Watch this quick showcase to see its performance on generating intricate text, detailed comics, and more. 👉🏻Try it now: 🔗GitHub: 🤗Hugging Face:

HunyuanImage 3.0 is officially here. It's the first open-source model with industrial-grade native multimodal architecture and delivers instant, high-quality visual content for every designer and content creator. Watch this quick showcase to see its performance on generating intricate text, detailed comics, and more. 👉🏻Try it now: 🔗GitHub: 🤗Hugging Face:

Tencent Hy

31,048 views • 9 months ago

BOOM! Starting today you can use open source frontier LLMs in Visual Studio Code with HF Inference Providers! 🔥 Use your inference credits on SoTA llms like GLM 4.5, Qwen3 Coder, DeepSeek 3.1 and more All of it packaged in one simple extension - try it out today 🤗

BOOM! Starting today you can use open source frontier LLMs in Visual Studio Code with HF Inference Providers! 🔥 Use your inference credits on SoTA llms like GLM 4.5, Qwen3 Coder, DeepSeek 3.1 and more All of it packaged in one simple extension - try it out today 🤗

Vaibhav (VB) Srivastav

41,185 views • 10 months ago

🧠💡 What if your 7B model could beat GPT-4o and Qwen2.5-72B—using just 11k training samples? No distillation. No warm-start. Just smart data and reinforcement learning. Inspired by Moravec’s Paradox, we let the model decide what's actually hard. 🚨 New paper: "SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement" We show how ThinkLite-VL-7B achieves SoTA on MathVista—75.1%, surpassing much larger models. 👇 Here’s how we did it: 🔗 🧠 Code: #AI #VisionLanguageModels #ReinforcementLearning #MachineLearning #LessIsMore

🧠💡 What if your 7B model could beat GPT-4o and Qwen2.5-72B—using just 11k training samples? No distillation. No warm-start. Just smart data and reinforcement learning. Inspired by Moravec’s Paradox, we let the model decide what's actually hard. 🚨 New paper: "SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement" We show how ThinkLite-VL-7B achieves SoTA on MathVista—75.1%, surpassing much larger models. 👇 Here’s how we did it: 🔗 🧠 Code: #AI #VisionLanguageModels #ReinforcementLearning #MachineLearning #LessIsMore

Furong Huang

63,321 views • 1 year ago

Introducing 0GM-1.0-35B-A3B. Our first proprietary AI model. Mixture of Experts (MoE), 35B parameters, 3B active per token. Trained on our own decentralized GPU network. Open source under Apache 2.0.

Introducing 0GM-1.0-35B-A3B. Our first proprietary AI model. Mixture of Experts (MoE), 35B parameters, 3B active per token. Trained on our own decentralized GPU network. Open source under Apache 2.0.

0G Labs (Home of Infinite AI)

48,712 views • 1 month ago

🚨 BREAKING: China is taking over AI! ERNIE-X1.1 by Baidu just dropped - a revolutionary deep-thinking model that crushes agentic tasks, tool use & factual accuracy. Built on ERNIE-4.5 with game-changing reinforcement learning. Watch it dominate coding challenges :

🚨 BREAKING: China is taking over AI! ERNIE-X1.1 by Baidu just dropped - a revolutionary deep-thinking model that crushes agentic tasks, tool use & factual accuracy. Built on ERNIE-4.5 with game-changing reinforcement learning. Watch it dominate coding challenges :

Hasan

20,198 views • 10 months ago

🚀 Introducing MiniCPM-V 4.5 8B: pushing the boundary of multimodal AI! ～ SOTA VL Capability: Surpasses GPT-4o, Gemini 2.0 Pro, Qwen2.5-VL 72B on OpenCompass! ～ "Eagle Eye" Video: 96x visual token compression for high refresh rate and long video understanding ～ Controllable Hybrid Fast/Deep Thinking ～ Strong OCR & Doc Parsing: Surpasses GPT-4o & Gemini 2.5 on OmniDocBench Get ready for the future of multimodal AI 👉 Huggingface｜ Github｜ Gradio｜ #AI #MiniCM #GPT #Gemini #OpenBMB #ArtificialIntelligence #MachineLearning

🚀 Introducing MiniCPM-V 4.5 8B: pushing the boundary of multimodal AI! ～ SOTA VL Capability: Surpasses GPT-4o, Gemini 2.0 Pro, Qwen2.5-VL 72B on OpenCompass! ～ "Eagle Eye" Video: 96x visual token compression for high refresh rate and long video understanding ～ Controllable Hybrid Fast/Deep Thinking ～ Strong OCR & Doc Parsing: Surpasses GPT-4o & Gemini 2.5 on OmniDocBench Get ready for the future of multimodal AI 👉 Huggingface｜ Github｜ Gradio｜ #AI #MiniCM #GPT #Gemini #OpenBMB #ArtificialIntelligence #MachineLearning

OpenBMB

25,121 views • 10 months ago

Super excited to share our open interactive demo for DR Tulu-8B! It supports web and literature search with full transparency — you can see the model's thinking traces and tool outputs as it reasons through your query. 🔗 📝

Super excited to share our open interactive demo for DR Tulu-8B! It supports web and literature search with full transparency — you can see the model's thinking traces and tool outputs as it reasons through your query. 🔗 📝

Shannon Shen

27,470 views • 5 months ago

Introducing ERNIE X1 Turbo & ERNIE 4.5 Turbo! Building on the success of ERNIE X1 and 4.5, the upgraded ERNIE X1 Turbo and 4.5 Turbo deliver results faster and cheaper. Both models stand out for their multimodal capabilities, strong reasoning and low costs. For X1 Turbo, input and output prices start at $0.14 per 1M tokens and $0.55 per 1M tokens, respectively, priced at approximately 25% of DeepSeek R1. #BaiduCreate2025 (Exchange rate used: 1 RMB ≈ 0.14 USD)

Introducing ERNIE X1 Turbo & ERNIE 4.5 Turbo! Building on the success of ERNIE X1 and 4.5, the upgraded ERNIE X1 Turbo and 4.5 Turbo deliver results faster and cheaper. Both models stand out for their multimodal capabilities, strong reasoning and low costs. For X1 Turbo, input and output prices start at $0.14 per 1M tokens and $0.55 per 1M tokens, respectively, priced at approximately 25% of DeepSeek R1. #BaiduCreate2025 (Exchange rate used: 1 RMB ≈ 0.14 USD)

Baidu Inc.

136,280 views • 1 year ago

BREAKING: Microsoft just launched its own AI model family and the coding model inside GitHub Copilot. MAI-Code-1-Flash. Shipped to every Copilot tier. I just tested it to build an app. Check out the video 👇 85.8% benchmark score. 256K context. 60% token reduction on hard tasks. Here are the other models. → MAI-Code-1-Flash (coding, free) → MAI-Thinking-1 (reasoning, 35B params) → MAI-Image-2.5 (image generation) → MAI-Transcribe-1.5 (speech, 43 languages)

BREAKING: Microsoft just launched its own AI model family and the coding model inside GitHub Copilot. MAI-Code-1-Flash. Shipped to every Copilot tier. I just tested it to build an app. Check out the video 👇 85.8% benchmark score. 256K context. 60% token reduction on hard tasks. Here are the other models. → MAI-Code-1-Flash (coding, free) → MAI-Thinking-1 (reasoning, 35B params) → MAI-Image-2.5 (image generation) → MAI-Transcribe-1.5 (speech, 43 languages)

Priyanka Vergadia

37,018 views • 1 month ago

Introducing Open Research - our open source agentic research app 🔥 It traverses web for you and thinks between tool calls with page context for more sophisticated reasoning while finding an answer. Fork the example and build your own web researcher today 👇

Introducing Open Research - our open source agentic research app 🔥 It traverses web for you and thinks between tool calls with page context for more sophisticated reasoning while finding an answer. Fork the example and build your own web researcher today 👇

Firecrawl

51,666 views • 1 year ago

𝗞𝗶𝗺𝗶 𝗞𝟮.𝟲 𝗽𝗹𝘂𝘀 𝗢𝗽𝗲𝗻 𝗖𝗼𝗱𝗲 𝗶𝘀 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗳𝗿𝗲𝗲 𝗮𝗴𝗲𝗻𝘁 𝗰𝗼𝗺𝗯𝗼. K2.6 packs 1 trillion params with 32 billion active. It scored 58.6% on SWE Bench Pro, beating GPT 5.4. Hallucination rate dropped from 65% to 39%. One run made 4,000 tool calls in 12 straight hours. It rewrote 4,000 lines of code in a 13 hour session. Open Code runs in your terminal with 75+ models. Save this. Open source coding just leveled up.

𝗞𝗶𝗺𝗶 𝗞𝟮.𝟲 𝗽𝗹𝘂𝘀 𝗢𝗽𝗲𝗻 𝗖𝗼𝗱𝗲 𝗶𝘀 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗳𝗿𝗲𝗲 𝗮𝗴𝗲𝗻𝘁 𝗰𝗼𝗺𝗯𝗼. K2.6 packs 1 trillion params with 32 billion active. It scored 58.6% on SWE Bench Pro, beating GPT 5.4. Hallucination rate dropped from 65% to 39%. One run made 4,000 tool calls in 12 straight hours. It rewrote 4,000 lines of code in a 13 hour session. Open Code runs in your terminal with 75+ models. Save this. Open source coding just leveled up.

Julian Goldie SEO

14,880 views • 2 months ago

Multimodal Reasoning AI Agents are here with Gemini 2.0 Flash Thinking I built a multimodal AI agent that can reason and understand images using gemini flash reasoning LLM. 100% Opensource Code with step-by-step tutorial.

Multimodal Reasoning AI Agents are here with Gemini 2.0 Flash Thinking I built a multimodal AI agent that can reason and understand images using gemini flash reasoning LLM. 100% Opensource Code with step-by-step tutorial.

Shubham Saboo

36,596 views • 1 year ago