Generating high-quality, temporally continuous videos requires a significant amount of computational resources, especially for longer time spans. The latest Diffusion Transformer model (DiTs) has made significant progress in video generation, but its reliance on larger models and more complex attention mechanisms has resulted in slower inference speeds, exacerbating the challenge. To address this issue, researchers at Meta AI have proposed a training-free method called AdaCache to accelerate video DiTs.

Recently, OpenAI launched an important update that introduces the 'Predicted Outputs' feature for the GPT-4o model. This innovative technology significantly enhances the model's response speed, achieving up to 5 times the original speed in specific scenarios, providing developers with a completely new efficiency experience. This feature, developed in collaboration with FactoryAI, has a core advantage of bypassing the process of repeated generation of known content. In practical applications, especially in updating blog posts and iterating on existing content.

Large Language Models (LLMs) like GPT and Llama have sparked a revolution in the field of artificial intelligence, but efficiently training these massive models while aligning them with human values remains a challenge. Reinforcement Learning with Human Feedback (RLHF) has become an important training method for LLMs in recent years, but traditional RLHF frameworks have limitations in flexibility, efficiency, and scalability. To address these issues, the ByteDance Doubao Large Model Team has open-sourced an RLHF framework called HybridFlow.

Recently, the medical document automation startup Tennr Inc. announced the completion of a $37 million funding round, led by Lightspeed Ventures, with participation from a16z and Foundation Capital. This financing brings Tennr's total funds raised to over $61 million, following a recent $18 million Series A round completed just six months ago. Tennr primarily focuses on utilizing artificial intelligence for...

Qualcomm CEO Cristiano Amon recently predicted that artificial intelligence smartphones (AI smartphones) will become accessible to every consumer worldwide within five years. He forecasts that almost everyone could possess an AI-based smartphone in the near future. Amon believes that the proliferation of AI smartphones will follow the mature trajectory of the transition from feature phones to smartphones, requiring a gradual enhancement and enrichment of application scenarios. He is convinced that with ongoing technological advancements, AI smartphones will lead market trends and become mainstream in the industry.

Kimi AI Assistant has recently launched a major update, introducing the long-awaited voice call feature for users. This groundbreaking development not only enriches the ways users interact with AI but also provides innovative solutions for learning and work scenarios. The core of the new feature lies in its diverse application scenarios and personalized user experience. Building on basic voice conversations, Kimi cleverly integrates a real-time subtitle display function, allowing users to intuitively view the dialogue content in the voice interface, significantly enhancing the efficiency and accuracy of communication. To make this...

Today, Honor officially announced that the Honor MagicOS 9.0 operating system will be unveiled on October 23, and the Honor Magic7 series smartphones are scheduled for an official release on October 30. The theme of these two press conferences is 'Witness AI Magic', indicating that Honor will make significant breakthroughs in the field of artificial intelligence. The MagicOS 9.0 operating system is expected to deeply explore AI technology, providing a rich AI experience and making phone operations more convenient and intelligent with the integration of smart technologies.

Recently, the German AI startup Black Forest Labs launched its latest image generation model, Flux 1.1 Pro. This new model boasts an astonishing speed, with Black Forest Labs claiming it's six times faster than the previous generation, Flux 1 Pro, while also significantly enhancing image quality. In addition to Flux 1.1 Pro, Black Forest Labs has also released the beta version of its BFL API, allowing developers to integrate it with their applications.

The Mamba team's research focuses on distilling the large transformer model Llama into Mamba by designing a novel inference decoding algorithm that significantly enhances inference speed. The research aims to leverage Llama's extensive knowledge while reducing the high cost of training large models from scratch. The research team successfully transformed Zephyr-7B and Llama-38B into a linear RNN by combining progressive distillation, supervised fine-tuning, and preference optimization methods.

The newly launched 1.5 flash model update of Gemini has significantly improved response speed by 50%, especially noticeable in the Pro Plan, benefiting all user tiers. This optimization is evident on both web and mobile platforms, enhancing user interaction experience, particularly when handling complex tasks. The competitiveness of Gemini in the AI assistant domain has thus increased, with a new round of updates scheduled for release on September 4, introducing more enhanced features and continuously optimizing services. This update reflects the rapid iteration of AI technology and fierce competition, allowing users to benefit and enjoy an improved experience.

Cerebras Systems has launched Cerebras Inference, claiming it to be the fastest AI inference service in the world, achieving performance that surpasses traditional GPU-based systems by 20 times with significantly improved cost-effectiveness, particularly suitable for processing large language models (LLMs). Its 8B version processes 1800 tokens per second, while the 70B version processes 450 tokens, with speed and cost-performance far exceeding NVIDIA GPU solutions.

Aishi Technology announced the global launch of version V2.5 of its video generation product PixVerse, which has achieved significant improvements in video generation speed, dynamic performance, and picture quality. The new version has particularly optimized the model, enhancing prompt understanding and the aesthetic level of video generation, increasing the video generation speed by 200%, while supporting output up to 4K resolution to ensure clarity in video details.

Runway ML has launched the AI video generation model Gen-3 Alpha Turbo, which offers a 7-fold increase in speed and a 50% reduction in costs compared to its predecessor, making AI video production more accessible. Turbo is suitable for all plans, including free trials, allowing users to enjoy an efficient video generation experience without incurring additional costs. The generation speed of Gen-3 Alpha Turbo is so fast that it surpasses typing speed, effectively addressing the time lag issue of AI video generation models. In terms of pricing, video costs only $5 per second.