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2. Comparison of code generation tools - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_code...

   Several code generation DSLs (attribute grammars, tree patterns, source-to-source rewrites) Active. DSLs represented as abstract syntax trees. DSL instance. Well-formed output language code fragments. Any programming language (proven for C, C++, Java, C#, PHP, COBOL) DRAKON.

3. List of ray tracing software - Wikipedia

   en.wikipedia.org/wiki/List_of_ray_tracing_software

   List of ray tracing software. Ray tracing is a technique that can generate near photo-realistic computer images. A wide range of free software and commercial software is available for producing these images. This article lists notable ray-tracing software. Software.

4. Mistral releases Codestral, its first generative AI model for ...

   techcrunch.com/2024/05/29/mistral-releases-its...

   Mistral, the French AI startup backed by Microsoft and valued at $6 billion, has released its first generative AI model for coding, dubbed Codestral. Like other code-generating models,...

5. Comparison of documentation generators - Wikipedia

   en.wikipedia.org/wiki/Comparison_of...

   full semantic analysis of source code, including parameter types, conditional compilation directives, macro expansions Javadoc: JSDoc: Yes JsDoc Toolkit: Yes mkd: Customisable for all type of comments 'as-is' in comments all general documentation; references, manual, organigrams, ... Including the binary codes included in the comments. all ...

6. This neural network-based software will automatically color ...

   techcrunch.com/2017/02/02/this-neural-network...

   The so-called PaintsChainer project can take your basic line art, created using whatever drawing program you happen to use, in a number of ordinary file formats, including JPG, PNG, GIF or even ...

7. NIST launches a new platform to assess generative AI

   techcrunch.com/2024/04/29/nist-launches-a-new...

   Generators in the study must generate 250-words-or-fewer summaries provided a topic and a set of documents, while discriminators must detect whether a given summary is potentially AI-written.