Microsoft and its partners have created NaturalSpeech 3, a new Text-to-Speech system that makes computer-generated voices sound more human. The model uses a "weak-to-strong" training strategy and efficient token compression to reduce computational requirements. It relies on carefully curated training data with high-resolution images and accurate descriptions, enabling it to generate detailed 4K images closely matching the text prompts. The researchers claim that PixArt-Σ can even keep up with commercial alternatives such as Adobe Firefly 2, Google Imagen 2, OpenAI DALL-E 3, and Midjourney v6. This adds up to Meta’s long-term vision to build open and responsibly developed artificial general intelligence (AGI). These clusters enable the development of advanced AI models and power applications such as computer vision, NLP, speech recognition, and image generation.
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Stay with us as we navigate the exhilarating landscape of AI innovations this November. Your go-to resource for everything AI, we aim to make sense of the rapid changes and share insights into how these innovations could shape our collective future. Mesh Graphormer ControlNet corrects malformed hands in images while preserving the rest. Use the Portrait Master for greater control over portrait creations without relying on complex prompts.
So we might have to reconsider the claims on the best open-source model out right now. But whatever the benchmarks say, only the practical usefulness of these models will tell which is truly superior. Groq’s Tensor Streaming Processor is designed from the ground up to accelerate AI inference workloads, eschewing the caches and complex control logic of general-purpose CPUs and GPUs. The company asserts this "clean sheet" approach dramatically reduces the latency, power consumption, and cost of running massive neural networks.
Anthropic is making Claude 3 Haiku and Claude 3 Sonnet available for government use through the AWS marketplace. This will improve citizen services, streamline document reviews, support data-based policymaking, and generate realistic training scenarios. Users can initiate calls with a user-generated AI character directly with a button tap. Users can also switch between calling and texting seamlessly and stop the AI from talking through a "Tap to interrupt" option. OpenAI trained a model based on GPT-4, called CriticGPT, to catch errors in ChatGPT’s code output.
Advanced AI model NVLM 1.0 from Nvidia competes with ChatGPT and Gemini, doing better at jobs like vision-language and solving complex problems. This helped the AI giant recover its position as the world’s second-largest company during the AI boom. The "Other" category, which includes other cloud providers and AI labs, collectively possesses a very significant amount of computing power, estimated at over 1.5 million H100 equivalents. This diverse group demonstrates the growing competition and interest in AI computing capacity across various tech ecosystems. Zoom says it wants to overhaul work in the digital age, and these announcements point to a new AI-driven world of interconnected tools and workflows.
ChatGPT’s latest update introduced the "Background Conversations" feature, allowing you to continue your chat even when using other apps or when your screen is off. While the Recall feature was one of the flashiest features revealed at Build —it also is one of the most controversial. While the screenshots enable memory and get us a step closer to the AI agent dream, its also a tough hurdle to get past for increasingly privacy-focused consumers.
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