File Extensions

-
For a comprehensive list of file extensions and their representation, visit http://www.filext.com. The site contains more extensions then you shake a mouse at!

Comments

  1. MichalSeptember 17, 2009 at 11:35 AM

    Hi, interesting site with the same problematic as Filext but I think more useful is at http://www.file-extensions.org.

    ReplyDelete

Post a Comment

Popular posts from this blog

Detecting Mobile Browsers

-
As discussed in our last meeting, web applications can be built to handle both PC browsers and mobile browsers. To do so, the application needs to detect if the browser is a mobile device and redirect the application to a page designed to display UI adequate for the smaller mobile browser. Detecting the browser is done using the following code sample, and it's typically placed in the Page_Load() of the login.aspx or default.aspx Private Sub Page_Load(ByVal sender As System.Object, ByVal e As System.EventArgs) Handles MyBase.Load Try If Not IsPostBack Then If Request.Browser.IsMobileDevice = True Then Response.Redirect("mobile/login.aspx") End If End If Catch ex As Exception ProcessEx(ex) End Try End Sub
Read more

Deployment Types in AI Foundry

-
Deploying a model in Azure AI Foundry can be done in 9 different ways.  Depending on the type of deployment chosen, it may impact one of more factors, such as cost, latency, efficiency for processing large datasets, compliance.  Listed below is a description of each deployment type, along with advantages and disadvantages.  For more details, please visit https://learn.microsoft.com/en-us/azure/ai-foundry/foundry-models/concepts/deployment-types Deployment Type Description Advantage Disadvantage Global Standard Shared global infrastructure for general-purpose model inference. Cost-effective and easy to scale. Performance may vary under high demand. Global Provisioned Dedicated global infrastructure for consistent performance. Reliable throughput and latency. Higher cost due to dedicated resources. Global Batch Asynchronous globa...
Read more

AI Agents vs. Agentic AI

-
AI agents and agentic AI are related but not the same. AI agents are task oriented systems built around LLMs, while agentic AI refers to a broader paradigm where AI systems exhibit autonomy, goal directed behavior, and self improving capabilities.   AI Agents vs. Agentic AI AI Agents: perform tasks but do not necessarily set their own goals. •             Modular systems built around LLMs or LIMs. •             Designed for narrow, task specific automation. •             Operate through tool integration, prompt engineering, and workflow orchestration.   Examples: ·                   A customer service chatbot ·              ...
Read more