Level AI的动态

Hands-on with Gemini: Interacting with multimodal AI: Mind blowing ! Multimodal Dialogue, Multilinguality, Game Creation, Visual Puzzles, Making Connections, Image & Text Generation, Logic & Spatial Reasoning, Translating Visuals, Cultural Understanding - All in one, do not miss watching this video, with your family :-) #Gemini #genAI #Google #GoogleCloud https://lnkd.in/gXgnpU8P

The Gemini AI product is truly groundbreaking. This demo left me with the same awe and wonder as when I did my first search on Google over 20 years ago. It's ability to recognize and generate natural language and shapes with human interactivity is unfathomable. https://lnkd.in/g7sjiKeg

Looks like Google have got their act together with AI! Gemini looks incredible and judging by the stats beats GPT4 in all but 1 area. Gemini is expected to be the most powerful AI ever built, with sophisticated capabilities such as mastering human-style conversations, language, and content, understanding and interpreting images, driving data and analytics, and being used by developers to create new AI apps and APIs?12. We might just have an AI arms race on our hands now! #AI #Google #Gemini #googlebard #LLM

Narrato: Empowering Teams to Produce High-Quality Content at Scale with Generative AI from Martech Zone - https://lnkd.in/ePZtPqBt

OpenAI's developments represent a shift in how businesses and society interact with technology. Here's 3 main ways: The Assistants API could redefine productivity by automating complex tasks The GPT Store may become a new economic platform for AI-driven applications, where users can share their GPTs with others The ability to create custom GPT models could democratize AI, making it accessible to a broader audience and sparking a wave of personalized AI applications.

Great module on the Future of AI

OK, hold onto your hat... ?? Google has entered the AI race with it's shiny new, long anticipated, multimodal Gemini. Google claims that Gemini 1.0, is their most capable and general AI model yet. And it's multimodal functionality mimics human intelligence. WHA?! ?? Is it equal to or better than OpenAI's GPT-4 large language model (LLM) OpenAI's GPT-4 large language model (LLM)? ?? I don't know, but it's quite impressive. ?? My understanding is that Google Pixel 8 phone peeps will get early access. Do you have a Pixel? Giddy Up, y'all! ?? Check out this video ?????? https://lnkd.in/d78_yX7f

?? Introducing Gemini: The AI that's redefining the boundaries of human-machine interaction. Picture a world where AI can understand and interact with you in ways never thought possible. That world is now a reality, thanks to Google DeepMind's Gemini. ?? What is Gemini? Gemini is a family of multimodal large language models developed by Google DeepMind, serving as a successor to LaMDA and PaLM 2. It's designed to process multiple types of data simultaneously, including text, images, audio, video, and computer code. Gemini outperforms human experts on MMLU (Massive Multitask Language Understanding), one of the most popular methods to test language understanding ?? Gemini's capabilities Gemini can: - Generate code based on different inputs - Generate text and images combined - Reason visually across languages - Help with scientific research by answering questions about research papers featuring graphs and equations ?? Impact on the tech world Gemini is positioned as a contender to OpenAI's GPT-4 Google DeepMind claims that Gemini outmatches GPT-4 on 30 out of 32 standard measures of performance. Video:https://lnkd.in/gBsn64Kz It's set to be introduced into other Google products, including generative search, ads, and Chrome in the coming months ?? The future of AI with Gemini As Gemini continues to evolve, its advanced capabilities will unlock new possibilities in AI applications, transforming the way we interact with technology and shaping the future of human-machine collaboration. #GoogleDeepMind #Gemini #AI #LanguageModel #MultimodalAI

This great article highlights #Wikipedia navigating the AI landscape while maintaining its core as a human-created resource. Wikipedia finding a balance to stay relevant is crucial, and a collective effort is essential to ensure its continued role in combating misinformation in the AI age. We must prioritize ethical AI use while keeping "humans in the loop."

Have you heard of Gemini? It’s Google's latest generative AI platform. What makes Gemini special is that it's ‘natively multimodal’. Here’s what that means… it doesn't just deal with text; it can handle audio, images, videos, code, and different languages. That's a big deal, setting it apart from other models that only understand and generate text. There’s been a little confusion: Gemini is not Bard. Bard is like an app for certain Gemini models. Gemini, on the other hand, is the family of models powering it. To put it in OpenAI terms, Bard is like ChatGPT, and Gemini is like the powerhouse language model (GPT-3.5 or 4). Gemini has loads of uses, from transcribing speech to captioning images and videos, and even generating artwork. But not all these features are fully baked yet. Google's promising a lot, but it's still a work in progress. Google claims that Gemini outshines the competition in benchmarks, beating GPT-4 in 30 out of 32 widely used academic benchmarks. However, it's not all sunshine and rainbows. Early impressions suggest Gemini Pro struggles with some tasks and makes factual errors. So, we'll have to wait and see. For now, Gemini Pro is free in Bard, AI Studio, and Vertex AI (during the preview phase). But once it exits preview in Vertex AI, it'll cost $0.0025 per character for input and $0.0005 per character for output. That means a 500-word article might cost you around $5 to summarize and just $0.1 to generate. It's only answering text-based queries in English in the U.S. right now but stay tuned for more updates. Are you keen to try it out? #Google #Gemini #AI