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MiniCPM-V: A GPT-4V Level MLLM on Your Phone

The recent surge of Multimodal Large Language Models (MLLMs) has fundamentally reshaped the landscape of #AI research and industry, shedding light on a promising path toward the next AI milestone. However, significant challenges remain preventing MLLMs from being practical in real-world applications. The most notable challenge comes from the huge cost of running an MLLM with a massive number of parameters and extensive computation. As a result, most MLLMs need to be deployed on high-performing cloud servers, which greatly limits their application scopes such as mobile, offline, energy-sensitive, and privacy-protective scenarios. In this work, we present MiniCPM-V, a series of efficient #MLLMs deployable on end-side devices. By integrating the latest MLLM techniques in architecture, pretraining and alignment, the latest MiniCPM-Llama3-V 2.5 has several notable features: (1) Strong performance, outperforming GPT-4V-1106, Gemini Pro and Claude 3 on OpenCompass, a comprehensive evaluation over 11 popular benchmarks, (2) strong #OCR capability and 1.8M pixel high-resolution #image perception at any aspect ratio, (3) trustworthy behavior with low hallucination rates, (4) multilingual support for 30+ languages, and (5) efficient deployment on mobile phones. More importantly, MiniCPM-V can be viewed as a representative example of a promising trend: The model sizes for achieving usable (e.g., GPT-4V) level performance are rapidly decreasing, along with the fast growth of end-side computation capacity. This jointly shows that GPT-4V level MLLMs deployed on end devices are becoming increasingly possible, unlocking a wider spectrum of real-world AI applications in the near future.

Paper: https://arxiv.org/pdf/2408.01800v1.pdf

Codes:
https://github.com/OpenBMB/MiniCPM-o
https://github.com/openbmb/minicpm-v

Datasets: Video-MME

#MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL #Statistics

https://t.iss.one/DataScienceT ❀️
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πŸ€–πŸ§  OpenAI’s AgentKit: Transforming How Developers Build and Deploy AI Agents

πŸ—“οΈ 08 Oct 2025
πŸ“š AI News & Trends

OpenAI continues to redefine the frontiers of artificial intelligence with the introduction of AgentKit a powerful all-in-one toolkit designed to simplify and accelerate how developers build and deploy AI agents. Unveiled during OpenAI’s Dev Day on October 6, 2025, AgentKit marks a transformative leap in agentic AI technology giving developers and organizations the ability to ...

#OpenAI #AgentKit #AIAgents #ArtificialIntelligence #DeveloperTools #AIInnovation
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πŸ€–πŸ§  Sora: OpenAI’s Breakthrough Text-to-Video Model Transforming Visual Creativity

πŸ—“οΈ 18 Oct 2025
πŸ“š AI News & Trends

Introduction Artificial Intelligence (AI) is rapidly transforming the creative world. From generating realistic images to composing music and writing code, AI has redefined how humans interact with technology. But one of the most revolutionary advancements in this domain is Sora, OpenAI’s text-to-video generative model that converts written prompts into hyper-realistic video clips. Ithas captured global ...

#Sora #OpenAI #TextToVideo #AI #VisualCreativity #GenerativeModel
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πŸ€–πŸ§  Free for 1 Year: ChatGPT Go’s Big Move in India

πŸ—“οΈ 28 Oct 2025
πŸ“š AI News & Trends

On 28 October 2025, OpenAI announced that its mid-tier subscription plan, ChatGPT Go, will be available free for one full year in India starting from 4 November. (www.ndtv.com) What is ChatGPT Go? What’s the deal? Why this matters ? Things to check / caveats What should users do? Broader implications This move by OpenAI indicates ...

#ChatGPTGo #OpenAI #India #FreeAccess #ArtificialIntelligence #TechNews
⚑️ OpenAI presents gpt-oss-safeguard - open models for flexible and transparent content moderation

Instead of a rigidly trained classifier, the model takes your own security policy as input and reasons whether the message complies with this policy.

The result is not just "safe/unsafe," but a chain of reasoning that you can verify and improve.

The models are available in two sizes: 120B and 20B.
β€’ gpt-oss-safeguard-120B
β€’ gpt-oss-safeguard-20B

πŸ’‘ Why they are needed:
β€’ Policies can be changed without retraining the model
β€’ Suitable for niche or rapidly changing risks (e.g., cheating in games or fake reviews)
β€’ Does not require thousands of labeled examples
β€’ Ideal when explainability is important rather than minimal latency

Both are available under the Apache 2.0 license - they can be freely used, modified, and deployed.

πŸ”— Official announcement
πŸ€— Hugging Face

#openai #chatgpt #opensource
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