While OpenAI’s Sora STILL awaits public access, others are filling the void with powerful models — it’s getting more competitive by the day. French AI startup Mistral genmo ai justlaunchedtwo new compact language models designed to bring powerful AI capabilities to edge devices like phones and laptops. Researchers from Alibaba and SkyworkshowcasedMeissonic, a small, open-source text-to-image model that can generate high-quality outputs that outperform larger models. Metaispartneringwith Blumhouse and other select filmmakers to test its Movie Gen AI video generation tools, gathering feedback to refine the tech before its public release in 2025. But the capabilities are there in some capacity — and if the model acceleration continues like many think it will, it’s only a matter of time before these threats will be real and important to mitigate. Anthropic justpublisheda set of new evaluations aimed at detecting potential sabotage capabilities in advanced AI systems, focusing on risks that could arise if models attempt to subvert human oversight or decision-making.

LumaAI has launched Dream Machine, an AI-powered video generation system capable of generating high-quality videos via simple text prompts. The open-for-all AI tool takes about two minutes to generate a realistic five-second video clip to render specified objects and environments without compromising coherency. Shopify has expanded access to its AI-powered features, including the Sidekick assistant and image-generation tool. It is making these AI tools available to more users, as it aims to provide merchants with an integrated and seamless platform to scale their businesses. The second approach to achieving Multimodal Retrieval Augmented Generation is known as Single Grounded Modality. In this approach, all data modalities—whether they are videos, images, or audio—are converted into a single modality, typically text.

Keeping up with the latest research papers, attending AI conferences, and participating in online communities, online data science and AI courses. Understanding the ethical implications of AI, including issues like bias, privacy, and the impact on jobs, is crucial for responsible AI development. In this article, we’ll explore the top 9 generative AI skills you should learn to prepare for a successful career in AI and data science. Remember that a well-developed character is multi-dimensional, with a combination of strengths and weaknesses. These key elements help create characters that feel real, engage the audience, and drive the plot forward.

Vidu has a deep understanding of Chinese factors and can generate images of unique Chinese characters like pandas and loong (Chinese dragons). The developer just needs to describe what they want in plain English, and Copilot Workspace will generate a step-by-step plan and the code itself. By automating repetitive tasks and providing step-by-step plans, Copilot Workspace aims to reduce developers’ cognitive strain and enable them to focus more on creativity and problem-solving. This new Copilot-native developer environment is designed for any device, making it accessible to developers anywhere. Gradient AI has released a new Llama-3 8B language model version called Llama-3-8B-Instruct-Gradient-1048k. This model’s key feature is its ability to handle extremely long context lengths up to 1 million tokens.

OpenAI recently introduced a game-changing feature in ChatGPT that lets you analyze, visualize, and interact with your data without the need for complex formulas or coding. OpenAI has formed content and product partnerships with Vox Media and The Atlantic. OpenAI will license content from these media powerhouses for inclusion in the chatbot’s responses. AMD CEO Lisa Su introduced new AI processors at Computex, including the MI325X accelerator, set to be available in Q4 2024. These announcements show how eager Nvidia is to retain its position as a leader in the AI hardware market. In addition to pushing the acceleration of AI chips, Nvidia is developing new tools to shape AI’s implementation in multiple sectors.

The computational resources required to model these complex tensor spaces are immense. Future research will focus on refining the mathematical models, developing more efficient computational methods, and conducting extensive empirical studies to validate the approach’s effectiveness. This shows how AI can accelerate the development of new treatments for diseases like cancer and create more effective diagnostic tools. It also saves years of lab work and billions in research costs, potentially bringing life-saving drugs to market faster. While OpenAI’s (still unreleased) Sora focuses on generating videos from scratch, Adobe is aiming to create ‘a new era‘ for video editing itself.

This "embodied question answering" (EQA) involves an AI system being able to answer questions about its environment in natural language. To provide flexibility, Reka Core can be deployed via API, on-premises, or on-device. Reka’s partnerships with Snowflake and Oracle are set to democratize access to this tech for AI innovation across industries. This premiere model achieves exquisite lip synchronization and captures a rich spectrum of facial nuances and natural head motions, resulting in hyper-realistic videos. Also, Groq’s capabilities could revolutionize software solutions that depend on real-time AI, genmoai such as virtual assistants, chatbots, and interactive customer services.