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- GPT-4o and SQL: How capable is a large model of changing its own architecture?
- Author | Compiled by David Eastman | Produced by Noah | 51CTO Technology Stack (WeChat ID: blog51cto) Although no large language model (LLM) has ever driven a bicycle, they clearly understand the role of driving behavior in the field of human transportation. They are similar to what software developers provide as a kind of semantic-like real-world knowledge combined with an understanding of the technical world. We saw this clearly in a recent article where we were able to generate a simple SQL schema for book publishing simply by describing it in natural language. Although I was pleased with the performance of the Llama3 creation schema, a colleague from my previous days at Oracle pointed out that the book publishing schema was a fairly familiar example
- AI 1103 2024-06-11 09:56:49
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- Kuaishou version of Sora 'Ke Ling' is open for testing: generates over 120s video, understands physics better, and can accurately model complex movements
- What? Is Zootopia brought into reality by domestic AI? Exposed together with the video is a new large-scale domestic video generation model called "Keling". Sora uses a similar technical route and combines a number of self-developed technological innovations to produce videos that not only have large and reasonable movements, but also simulate the characteristics of the physical world and have strong conceptual combination capabilities and imagination. According to the data, Keling supports the generation of ultra-long videos of up to 2 minutes at 30fps, with resolutions up to 1080p, and supports multiple aspect ratios. Another important point is that Keling is not a demo or video result demonstration released by the laboratory, but a product-level application launched by Kuaishou, a leading player in the short video field. Moreover, the main focus is to be pragmatic, not to write blank checks, and to go online as soon as it is released. The large model of Ke Ling is already available in Kuaiying.
- AI 679 2024-06-11 09:51:48
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- The inside story of Google's search algorithm was revealed, and 2,500 pages of documents were leaked with real names! Search Ranking Lies Exposed
- Recently, 2,500 pages of internal Google documents were leaked, revealing how search, "the Internet's most powerful arbiter," operates. SparkToro's co-founder and CEO is an anonymous person. He published a blog post on his personal website, claiming that "an anonymous person shared with me thousands of pages of leaked Google Search API documentation that everyone in SEO should read." Go to them! "For many years, RandFishkin has been the top spokesperson in the field of SEO (Search Engine Optimization, search engine optimization), and he proposed the concept of "website authority" (DomainRating). Since he is highly respected in this field, RandFishkin
- AI 984 2024-06-11 09:14:23
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- AI predicts extreme weather 5,000 times faster! Microsoft launches Aurora to predict global storms with the eyes of AI
- Since the beginning of human history, humans have been obsessed with predicting the weather and deciphering the "language of the sky" in various ways. We slowly discovered that vegetation and clouds seem to be related to the weather. This is not only because of the needs of human beings for production, but also because of human needs. The need to sing to the strong wind and recite poetry under the moonlight. The Storm Singer in "A Song of Ice and Fire" predicts weather and storms through singing and chanting, and people also fantasize about having the superpower of "changing the weather." Recently, weather experts and weather forecasts have made it clear that we are still unable to escape from embodied experience and the physical world, but now, AI is changing that. Fine-tuning content: Microsoft released Aurora, the first large-scale atmospheric basic model, which can learn from data and make predictions, showing amazing accuracy and efficiency
- AI 791 2024-06-11 09:07:29
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- Robin Li talks about AI in Europe: I am more interested in super applications than GPT-5
- The biggest difference between Zhonggu AI and the West is application. There are hundreds of basic models in China, but people are increasingly discussing what are the super applications in the AI era. Applications are driving the rapid development of AI. Progress in the application field can promote innovation in basic models and help accelerate the transition from the Internet era to the artificial intelligence era. At the main forum of the "European AI Spring Festival Gala", Robin Li made his latest appearance. As the only Chinese entrepreneur invited to the conference, he once again "spoke for" China's AI. The full name of this conference being held in Paris, France is "European Science and Technology Innovation Exhibition" (Viva Technology), which is one of the largest technology events in Europe. In addition to Robin Li, speakers participating this year include Musk and Turing Award winner Yoshua Be
- AI 536 2024-06-10 22:55:23
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- Multifunctional RNA analysis, Baidu team's RNA language model based on Transformer is published in Nature sub-journal
- Editor | Radish core pre-trained language models have shown good promise in analyzing nucleotide sequences, but there are still challenges in using a single pre-trained weight set to achieve multi-functional models that perform well in different tasks. The Baidu Big Data Lab (BDL) and Shanghai Jiao Tong University teams developed RNAErnie, an RNA-centered pre-training model based on the Transformer architecture. The researchers evaluated the model on seven datasets and five tasks, demonstrating RNAErnie's superiority in both supervised and unsupervised learning. RNAErnie surpassed the baseline, improving classification accuracy by 1.8%, interaction prediction accuracy by 2.2%, and structure prediction F1 score by 3.3%.
- AI 552 2024-06-10 22:21:12
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- Transparent! How to choose the right machine learning algorithm
- Algorithm Selection Considerations Choosing the right machine learning algorithm for the task involves multiple factors, each of which can have a significant impact on the final decision. Here are a few aspects to keep in mind during the decision-making process: 1. Size and quality of data set: Machine learning algorithms vary in their requirements for input data. Some algorithms work well with small data sets, while other algorithms work well with large data sets. In addition, the accuracy, completeness and representativeness of the data are also 1. Dataset Characteristics The characteristics of the data set are crucial to the selection of the algorithm. Factors such as the size of the data set, the types of data elements it contains, and whether the data is structured or unstructured are all key factors. Imagine applying algorithms for structured data to unstructured data problems. You probably won't get very far! Large data sets require
- AI 805 2024-06-10 22:18:30
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- Use NVIDIA Riva to quickly deploy enterprise-level Chinese voice AI services and optimize and accelerate them
- 1. Overview of Riva 1. OverviewRiva is an SDK launched by NVIDIA for real-time SpeechAI services. It is a highly customizable tool and uses GPU acceleration. Many pre-trained models are provided on NGC. These models are ready to use out of the box and can be deployed directly using the ASR and TTS solutions provided by Riva. In order to meet the needs of specific fields or develop customized functions, users can also use NeMo to retrain or fine-tune these models. This further improves the performance of the model and makes it more adaptable to user needs. Riva+Skills is a highly customizable tool that leverages GPU-accelerated real-time streaming speech recognition
- AI 1037 2024-06-10 21:57:48
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- Super strong! The top ten machine learning algorithms you must know
- 1. Linear Regression Linear regression is one of the simplest and most widely used machine learning algorithms for predictive modeling. It is a supervised learning algorithm used to predict the value of a dependent variable based on one or more independent variables. The core of defining linear regression is to fit a linear model to the observed data. A linear model is represented by the following equation: where is the dependent variable (the variable we want to predict) is the independent variable (the variable we use to make the prediction) is the slope of the line is the y-intercept (the intersection of the line and the y-axis) Linear Regression The algorithm involves finding the best-fit line through the data points. This is usually done by minimizing the squared difference between the observed and predicted values. Evaluation metric mean square error (MSE): the average of the squares of measurement errors. The lower the value, the better. R square: means that the root
- AI 926 2024-06-10 21:53:52
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- AI in use | Use Kimi to write 'crazy' copywriting, with over 100,000 articles
- Editor of the report on the power of machines: Wenhua The wave of artificial intelligence represented by large models and AIGC has been quietly changing the way we live and work, but most people still don’t know how to use it. Therefore, we have launched the "AI in Use" column to introduce in detail how to use AI through intuitive, interesting and concise artificial intelligence use cases and stimulate everyone's thinking. We also welcome readers to submit innovative, hands-on use cases. These days, in order to grab traffic, everyone is worried to the point of baldness. Today, let’s learn about Amway’s way to get traffic: use AI to write "crazy" copywriting for public accounts, and get more than 100,000 per article. This type of copywriting public account has a routine to follow: 1. An interesting title 2. Some copywriting that seems to have a serious illness 3. A few pictures that may be healing or funny. This uses A
- AI 992 2024-06-10 21:22:30
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- In addition to RAG, there are five ways to eliminate the illusion of large models
- Produced by 51CTO Technology Stack (WeChat ID: blog51cto) It is well known that LLM can produce hallucinations - that is, generate incorrect, misleading or meaningless information. Interestingly, some people, such as OpenAI CEO Sam Altman, view the imagination of AI as creativity, while others believe that imagination may help make new scientific discoveries. In most cases, however, it is crucial to provide the correct answer, and hallucinations are not a feature but a flaw. So, how to reduce the illusion of LLM? Long context? RAG? Fine-tuning? In fact, long-context LLMs are not foolproof, vector search RAGs are not satisfactory, and fine-tuning comes with its own challenges and limitations. Here are some that can be used
- AI 1293 2024-06-10 20:25:51
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- ICML2024 high score! Magically modify attention, allowing small models to fight twice as big models
- Improve the core mechanism of Transformer to focus, so that small models can be used to create twice the size of models! In the ICML+2024 high-scoring paper, the Caiyun Technology team built the DCFormer framework, replacing the Transformer core component attention module (MHA), and proposed a dynamically combinable multi-head attention (DCMHA). DCMHA removes the fixed binding of the search, selection loop and transformation loop of the MHA attention head, allowing them to be dynamically combined based on the input, which fundamentally improves the expression ability of the model. The original meaning is that each layer has fixed H attention heads. Now it is almost understood that each layer originally had fixed H attention heads. Now with almost the same amount of parameters and computing power, it can be dynamically combined Up to Hx
- AI 808 2024-06-10 20:18:19
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- How TigerGraph CoPilot implements graph-enhanced AI
- To learn more about AIGC, please visit: 51CTOAI.x community https://www.51cto.com/aigc/ By comparing the shortcomings of other commercial LLMs, this article introduces in detail the main functions, advantages, and two key points of TigerGraphCoPilot Example. In recent years, data as a production factor has been able to provide us with transformative business insights across different industries. However, how to make good use of the available big data often brings us considerable challenges. On the one hand, there is an overload of data, and on the other hand, there are a large number of underutilized data islands. Many professional data scientists and analysts urgently need to use their professional knowledge to enable their organizations to operate without sacrificing
- AI 836 2024-06-10 18:38:14
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- ICML 2024 | Breaking away from the LoRA architecture, training parameters are greatly reduced, and a new type of Fourier fine-tuning is coming
- The AIxiv column is a column where this site publishes academic and technical content. In the past few years, the AIxiv column of this site has received more than 2,000 reports, covering top laboratories from major universities and companies around the world, effectively promoting academic exchanges and dissemination. If you have excellent work that you want to share, please feel free to contribute or contact us for reporting. Submission email: liyazhou@jiqizhixin.com; zhaoyunfeng@jiqizhixin.com This article introduces an article by the Hong Kong University of Science and Technology (Guangzhou) on large model efficient fine-tuning (LLMPEFTFine-tuning) "Parameter-EfficientFine-TuningwithDis"
- AI 1099 2024-06-10 17:58:01
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- How to use artificial intelligence to enhance cloud security for APIs and microservices
- Translator | Reviewed by Li Rui | Chonglou Overview API is a set of guidelines and protocols used to facilitate communication between software applications. It outlines the methods by which software components interact, simplifying the process of developing and integrating systems. Microservices architecture represents an approach to software development that divides large applications into multiple services. Each service focuses on a business function. They can be developed, deployed and scaled autonomously. Cloud security is very important for APIs and microservices for the following reasons: Data Protection: APIs and microservices often process information. Maintaining security is critical to protecting this data from access, leakage, or destruction. User Authentication and Authorization: Implementing security protocols in a cloud computing environment helps verify the identity of users and services interacting with APIs and microservices. This is true
- AI 1075 2024-06-10 17:09:20
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