On October 22, Baidu released the top ten frontier technology inventions of 2024 in Beijing, highlighting multiple innovative native applications of artificial intelligence and high-value patent outcomes. Among these frontier technological inventions, 'large models' emerged as a prominent keyword, showcasing Baidu's in-depth research and application in this field.

The upcoming iPhone 17 series from Apple is expected to feature 12GB RAM to meet the memory demands of future AI large models. The current iPhone 15 Pro and iPhone 16 series with 8GB RAM are insufficient for supporting large models with around 7 billion parameters. A model with 13 billion parameters requires at least 5GB of memory, and after the operating system and applications take up space, 8GB RAM fails to provide enough room. The 12GB RAM configuration could offer ample space for larger AI models.

Zhang Xiangyu, an outstanding scientist in the field of AI, rose to fame for his involvement in the ResNet research, which innovatively introduced residual connections and is crucial for modern deep learning models. As a member of the post-90s generation, he joined Jietuo Star, sparking industry attention. Zhang's academic achievements include achieving the best historical result for Xi'an Jiaotong University in a mathematical modeling competition and co-completing the ResNet research during his time at Microsoft Research Asia. The ResNet paper has been cited over 230,000 times, making it one of the most popular deep learning works of this century.

At the 51st SIGGRAPH conference, NVIDIA CEO Jensen Huang and Meta CEO Mark Zuckerberg engaged in a fireside chat discussing the future of artificial intelligence and simulation. During their conversation, Huang praised Meta's open source large model strategy and emphasized the importance of open source for AI development. They showcased their friendship and shared vision for advancing the industry through a creative 'coat swap' ceremony.

Baidu Intelligent Cloud introduced the financial intelligence application "ZhiJin" at the 2024 China International Financial Expo, aiming to deeply integrate its leading AI large-model technology with core business scenarios in the financial industry to enhance operational efficiency and revenue for financial institutions.ZhiJin is tailored for four core scenarios: wealth management, asset evaluation, business compliance, and over-the-counter (OTC) trading, offering intelligent and efficient bus

iFlytek's Spark has introduced the Spark Pro-128K large model, equipped with ultra-long text processing capabilities, significantly enhancing the value of AI large models in practical applications. The ability to handle long texts is a crucial direction for the development of AI large models, particularly important for industries such as finance, healthcare, and research, enabling rapid understanding and generation of vast amounts of information to improve work efficiency.The API for the Spark P

Recently, scholars from multiple institutions have discovered a new technology known as Physical Neural Networks (PNNs). This is not the kind of digital algorithms we are familiar with that run on computers, but a completely new, intelligent computing method based on physical systems. As the name suggests, PNNs utilize the characteristics of physical systems to perform computations in neural networks. Although they are still a niche area of research, PNNs could be one of the significantly underv

KLM Royal Dutch Airlines utilizes AI large models to reduce the number of in-flight meals, which has decreased food waste by 63%. The AI model TRAYS can accurately predict the actual number of boarding passengers, leading to a 63% reduction in food waste after using the predictive model.

The 2023 Annual 'Top Ten Scientific Advances in China' has been released. AI large models bring new breakthroughs for accurate weather forecasting, revealing mechanisms of how dark matter in the human genome drives aging, discovering the existence of a 'tangible' biological clock in the brain and its rhythmic regulation mechanisms, analyzing the salt-alkali tolerance mechanisms of crops and their applications, achieving precise manipulation of DNA from single base pairs to ultra-large segments using new methods, revealing new mechanisms of DNA replication initiation in human cells, discovering the narrow jet of the brightest gamma-ray burst in history and its trillion-electron-volt photon emissions, and developing bosonic error correction to extend qubit lifespans, as well as revealing light-sensing regulation mechanisms for glucose metabolism.

More than a year after the release of ChatGPT, AI has not transformed industries as expected, and the rankings of major companies have not been impacted by AI.

Huawei and China Unicom held a press conference at MWC24 in Barcelona to unveil innovative achievements related to 5G-A, Whole Home Optical Broadband 3.0, and AI Large Models, themed 'Computing Network as the Foundation, Intelligence Leading the Future'. The cooperative achievements cover multiple fields, showcasing technological innovations.

The American social media platform Reddit has reached an agreement with Google, valued at approximately $60 million annually. Springer Publishing Group collaborates with OpenAI, becoming the first publishing entity to deeply integrate journalism with artificial intelligence technology. OpenAI has signed a cooperation agreement with Axel Springer, indicating that future large model training may involve payments to data providers. Publishing industry companies possess a wealth of electronic graphic resources and are expected to become important datasets for large model training.

In 2024, large models are fully rising, with various industries scrambling to set up their frameworks. Large models not only enhance productivity but also play a crucial role in the digitalization process. One of the challenges is the insufficient depth of understanding large models have about industries and the credibility of content generated. Insufficient computing power has become a significant constraint on the development of large models. Future trends in computing power development include dedicated computing power, distributed training, energy consumption sustainability, and the combination of software and hardware.

The electronic signature industry is proactively embracing AI large models to enhance its digital and intelligent capabilities. Leading e-signature SaaS providers such as eSignBao and ShangShangQian regard AI large models as a key to improving product capabilities. AI large models can assist companies in the electronic signature industry with more accurate business analysis and provide more intelligent solutions. Electronic signature products based on AI large models can significantly increase signing efficiency and reduce signing costs. The deep integration of the electronic signature industry and AI large models will drive the sector towards a more intelligent development.

In 2023, the scale of China's large model market reached 14.7 billion yuan, making it the second largest large model industry center in the world. The industrialization of large models has become a challenge, as companies need to apply technology to their production and operations. Du Xiaoman's Xuan Yuan large model has become a benchmark in the financial scene, deeply empowering multiple fields and achieving significant results. Alibaba's Tongyi Qianwen large model and iFlytek's Spark large model have also made important progress in the e-commerce and education sectors.

At the China Entrepreneur Annual Conference, Zhou Hongyi discussed the craze for AI large models. He urged a rational understanding of the capabilities of large models, emphasizing not to overestimate their current abilities while also not underestimating their future potential. He reminded everyone to fully leverage the strengths of large models while addressing their shortcomings.

OpenAI has announced initiatives from its safety system team dedicated to ensuring the safety and reliability of AI large models. This includes various groups focusing on safety engineering, model safety research, safety reasoning research, and human-computer interaction to address artificial intelligence safety issues, ensuring that model behavior aligns with human values. The core focus of the research is on model behavior consistency.

["Top Ten Buzzwords of 2023 Announced, AI Large Models Selected", "Definition and Application of Large Models in the Field of Artificial Intelligence", "Challenges of Large Models to Privacy Protection and Information Security", "Shanghai Announces Measures to Promote Innovation and Development of AI Large Models"]

US AI startup Galileo has launched a new tool to help users explain the hallucination phenomenon of AI large models. Galileo Studio features real-time monitoring capabilities to optimize LLMs performance. Galileo introduces new metrics and safeguards to assess the authenticity of model outputs, addressing hallucination issues, and ensuring LLMs produce accurate and compliant results.