Researchers have developed a new technique called Gradient Low-Rank Projection (GaLore) to reduce memory usage while training large language models significantly. Tests have shown that GaLore achieves results similar to full-rank training while reducing optimizer state memory usage by up to 65.5% when pre-training large models like LLaMA. The Yi models’ success in language, vision, and multimodal tasks suggests that they could be adapted to a wide range of applications, from customer service chatbots to content moderation and beyond. These models also serve as a prime example of how investing in data optimization can lead to groundbreaking advancements in the field.

This trend could increase user engagement, drive more paid subscriptions, and spur further innovation in AI-powered music experiences as companies offer more cutting-edge features. However, if the model’s capabilities are overstated or have significant limitations, it may lead to disappointment and a temporary setback in the progress of conversational AI. It’s also an opportunity to create niche models that are culturally sensitive and relevant. Stability AI has launched Stable Artisan, a multimodal-gen AI Discord bot that enables users to create images and videos using the Stable Diffusion 3 (SD3) and Stable Video Diffusion (SVD) models. The tool will enable creative users like sound designers, musicians, and developers to fine-tune the model to their own custom audio data, which is a major leap in the realm of generative AI’s audio generation capabilities. Apple also partnered with OpenAI to integrate ChatGPT with its apps, including Siri.

Users can quickly produce engaging video content for various purposes, from social media posts to personalized sales outreach, without extensive video production skills. Vidu's efficiency, versatility, and scalability make it a valuable tool for anyone seeking to create professional-looking videos quickly and cost-effectively. It offers advanced features like text-based video creation, natural language processing, and image recognition. It also provides camera motion effects to add dynamic movements to your videos for a professional feel. The company specializes in advanced artificial intelligence (AI) tools that assist users in generating and editing multimedia content, such as images, videos, and presentations. Genmo.ai's primary clients include content creators, marketing professionals, and businesses looking to enhance their visual and multimedia output efficiently.

The model is able to accurately estimate depth and focal length in a zero-shot setting, enabling applications like view synthesis that require metric depth. Introducing Tx-LLM, a language model fine-tuned to predict properties of biological entities across the therapeutic development pipeline, from early-stage target discovery to late-stage clinical trial approval. AI is extremely polarizing in the creator and artist community, largely due to the issues of unauthorized training and attribution that Adobe, Meta, OpenAI, and others are trying to address. While these tools are promising, they still rely heavily on widespread adoption and opt-in by creators and tech companies. OpenAI just introduced MLE-bench, a new benchmark designed to evaluate how well AI agents perform on real-world machine learning engineering tasks using Kaggle competitions.

Microsoft’s study on AI adoption in the workplace revealed the "11-by-11 tipping point," where users start seeing AI’s value by saving 11 minutes daily. The study involved 1,300 Copilot for Microsoft 365 users and showed that 11 minutes of time savings is enough for most people to find AI useful. Intel said that the AI PCs would be able to run "more elements of Copilot" locally. That creates a fair amount of lag that’s fine for larger jobs, but not ideal for smaller jobs. Adding local compute capability would decrease that lag, while potentially improving performance and privacy as well.

Available under Apache 2.0 license, it can be accessed on Hugging Face, and tested at genmo.ai/play. Powered by artificial intelligence, Genmo Replay is a user-friendly tool that allows you to create high-quality videos in just a few simple steps. Mochi 1 is entering an increasingly competitive landscape of AI video generators, with rivals such as Runway Gen-3, Luma AI, and Hailuo from China.

Whether you're a beginner or an experienced professional, Kaiber AI offers a seamless experience for generating high-quality video content quickly and efficiently. In this episode, host Karthik Ramakrishnan sits down with the minds behind Genmo AI, Paras Jain and Ajay Jain. Discover how Genmo AI is poised to revolutionize the content creation industry, empowering users and developers. This episode is packed with insights, future projections, and the innovative spirit driving Genmo AI forward. Alpha.genmo.ai is a versatile third-party tool that utilizes generative models to produce images, videos, and 3D models, depending on your input text or uploaded images. The platform offers free sign-up, allowing users to initiate their creative projects promptly.

Intel seems to be one of the only companies innovating across the full spectrum of the AI market opportunity– from semiconductor manufacturing to PCs and data center systems. Adobe’s Adobe Experience Platform (AEP) is a real-time customer experience management (CXM) solution designed for enterprises. AEP AI Assistant is a gen AI chatbot hooked up to the AEP and an enterprise’s storehouse of advertising and customer data, brand assets, and content collateral (at their direction). It demonstrated smooth and predictable scaling, with better returns to scale than prior techniques. The World AI Creator Awards and creator platform FanVue are currently running the inaugural ‘Miss AI’ contest, with over 1,500 AI-generated models competing for the world’s first AI beauty pageant. The platform helps AI companies find data to train their models while ensuring rights holders are compensated.

With its combination of high motion fidelity, text-to-video precision, and open-source accessibility, Mochi 1 offers a unique solution for creators seeking to integrate AI into their video production workflows. As a text-to-video AI generator, Mochi 1 allows users to input written prompts and generate video content that matches their descriptions. This includes control over characters, environments, and even specific camera angles or motions. Unlike some other AI video generators that might provide broad interpretations of prompts, Mochi 1 excels in prompt adherence, delivering precise outputs based on what users input. One of Mochi 1’s most impressive features is its ability to produce realistic motion in characters and environments, respecting the laws of physics down to the finest detail. This is particularly beneficial for filmmakers and game developers who need fluid character movements and dynamic camera actions in their scenes.

This model dramatically closes the gap between closed and open video generation systems. Genmo.ai may not currently match the output quality of some competitors, but its open-source nature allows users to experiment freely and witness rapid advancements. I previously generated a cinematic shot of a woman standing in front of a Ford Mustang. The results were striking and showcased the potential of this technology, despite some minor imperfections like unusual hand formations in the generated images.