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- The final conclusion of the ACL 2024 paper: large language model ≠ world simulator, Yann LeCun: That's so right
- If GPT-4 is only about 60% accurate when simulating state changes based on common sense tasks, then should we still consider using large language models as world simulators? In the past two days, a paper "CanLanguageModelsServeasText-BasedWorldSimulators?" selected for ACL2024 has sparked heated discussions on social media X, and even Turing Award winner Yann LeCun also participated. This paper explores the question: Can current language models themselves act as world simulators and correctly predict how actions change different world states, thereby avoiding the need for extensive manual coding? In response to this issue, researchers from the University of Arizona and New York University
- AI . json 471 2024-06-16 22:31:09
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- What Is CodeGPT and Can It Really Write Code?
- Ifyou'relookingforanAI-poweredassistanttohelpyouwritecode,chancesareyou'veencounteredCodeGPT.It'soneofmanyAI-poweredtoolsyoucanusetoassistyouwhenprogramming.ButcanCodeGPTactuallywritecode?WhatIsCodeGPT?
- AI . json 469 2024-06-14 20:23:23
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- How to add wallpapers to Wallpaper Engine How to add wallpapers to Wallpaper Engine
- How to add wallpaper in WallpaperEngine (method of adding wallpaper in WallpaperEngine), specifically how to add wallpaper, many netizens don’t know, follow the editor to find out. 1. After downloading, unzip the wallpaper compressed package to get an mp4 or .json file. 2. Then click [Open from file] below the software. 3. Finally, select the wallpaper file.
- Computer Software . json 961 2024-06-14 18:53:17
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- What Are ChatGPT\'s Default Plugins, and What Can I Use Them For?
- UsingChatGPTdoesn'tjustinvolvebasicfact-finding.GPT-4,ChatGPT'spremiummodel,hassomeinterestingextraplugins:DALL-E,Browsing,andCodeInterpreter.So,howdotheseChatGPTpluginswork,andwhatcanyougetoutofthem?OnMarch
- AI . json 937 2024-06-14 15:43:07
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- How to pass array in postman_detailed steps of passing array in postman
- 1. First open the [Postman] software and change the [Postman] sending method to [Post]. 2. Then select [raw] for [Postman] and transfer the data to json format [application/json]. 3. Then enter the data in json format below. and click [Send]. 4. Take the Java background receiving data as an example: Method 1: Use String to receive the array. 5. Take the Java background receiving data as an example: Method 2: Use the entity class array field to receive the array.
- Computer Software . json 638 2024-06-12 16:09:19
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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 . json 788 2024-06-10 21:57:48
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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 . json 1032 2024-06-10 20:25:51
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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 . json 898 2024-06-10 17:09:20
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- The first GPU high-level language, massive parallelism is like writing Python, has received 8500 stars
- After nearly 10 years of unremitting efforts and in-depth research on the core of computer science, people have finally realized a dream: running high-level languages on GPUs. Last weekend, a programming language called Bend sparked heated discussions in the open source community, and the number of stars on GitHub has exceeded 8,500. GitHub: https://github.com/HigherOrderCO/Bend As a massively parallel high-level programming language, it is still in the research stage, but the ideas proposed have already surprised people. With Bend you can write parallel code for multi-core CPU/GPU without having to be a C/CUDA expert with 10 years of experience, it feels like Python
- AI . json 896 2024-06-07 12:03:58
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- PHP vs. Ajax: Solutions for creating dynamically loaded content
- Ajax (Asynchronous JavaScript and XML) allows adding dynamic content without reloading the page. Using PHP and Ajax, you can dynamically load a product list: HTML creates a page with a container element, and the Ajax request adds the data to that element after loading it. JavaScript uses Ajax to send a request to the server through XMLHttpRequest to obtain product data in JSON format from the server. PHP uses MySQL to query product data from the database and encode it into JSON format. JavaScript parses the JSON data and displays it in the page container. Clicking the button triggers an Ajax request to load the product list.
- PHP Tutorial . json 749 2024-06-06 13:12:56
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- How to contribute to the golang framework community?
- The Golang framework community welcomes contributors. Contribution methods include: 1. Fix bugs; 2. Add features; 3. Improve documentation; 4. Code review; 5. Community participation. Contributors should select an issue, create a branch, implement the changes, commit the changes, and create a PullRequest. Best practices include adhering to coding conventions, writing tests, adding documentation, and responding to feedback. Examples of bug fixes include fixing errors that prevent JSON requests from being parsed correctly. Contributions help improve the quality of the framework and extend its functionality.
- Golang . json 556 2024-06-06 13:08:56
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- In-depth analysis of Java framework performance optimization
- Performance optimization is crucial for Java frameworks and can be improved by the following optimization strategies: Optimize database queries (indexes, query only necessary fields) Use caching (result sets, page fragments) Utilize thread pools (manage concurrency) Implement lazy loading (non-essential objects) ) Case studies on optimizing JSON processing (efficient libraries, streaming processing) show that these strategies can significantly improve application performance, such as reducing the response time of an e-shopping application from 5 seconds to 1 second.
- Java Tutorial . json 462 2024-06-06 12:49:56
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- Analysis and answers to common problems in golang framework development
- How to parse JSON request body? Use ioutil.ReadAll() to read the request body. Use json.Unmarshal() to parse the JSON body. How to verify if an HTTP request is authenticated using middleware? Create a middleware function to validate the token. Register routes in the router and use middleware to handle requests. How to get database connection via HTTP request context? Create a middleware function to get the database connection. Store the connection in the context in the middleware function. Register routes in the router and use middleware to handle requests.
- Golang . json 581 2024-06-06 12:48:57
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- PHP Debugging Composer Dependencies: Solving Dependency Issues
- Debugging Composer dependency issues Ways to resolve dependency issues: Check the composer.lock file Use composershow-root-requires to force a dependency refresh Set debug mode Actual case: Package conflicts: Use composershow-root-requires to discover conflicts and manually upgrade incompatibilities package. Missing dependencies: Add missing dependencies to composer.json and reinstall. Obsolete dependencies: Use composerupdate to update obsolete packages.
- PHP Tutorial . json 721 2024-06-06 12:18:57
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- PHP advanced features: RESTful API implementation skills
- PHP advanced features: RESTfulAPI implementation skills RESTfulAPI (RepresentationalStateTransfer) is a design style that follows REST principles and allows stateless interaction between the client and the server. This article will explore the advanced features of efficiently implementing RESTfulAPI in PHP and demonstrate it through practical cases. Using the Slim Framework Slim is a lightweight PHP micro-framework ideal for creating RESTful APIs. It provides functionality such as routing, request handling, and response generation. Install Slim:composerrequireslim/s
- PHP Tutorial . json 327 2024-06-06 11:48:56
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