A problem with LLMs is that they have very little to no "first hand experience". Generally speaking, they don't have a lifetime's experience with a sense of smell, nor even with a sense of vision. They haven't experienced hunger (though they might have experienced sleep). They don't have any "muscle memory" to judge their understanding of physics. Etc.
So, ... popular opinions and media coverage (and constraints imposed by governments and implementers) are most of what they have to go on. -- Raul On Wed, Aug 30, 2023 at 9:12 AM Hauke Rehr <hauke.r...@uni-jena.de> wrote: > > But Skip seems to want feedback on the question (see subject). > The question is fine, only the answer is flawed. > Flawed in a way to be expected when directing such a question > at Bard. > > Am 30.08.23 um 03:13 schrieb Devon McCormick: > > Try asking Bard about APL and matrix computations, then point out the > > deficiency in its previous answer and see what it says. > > > > > > On Tue, Aug 29, 2023 at 6:09 PM 'Skip Cave' via Programming < > > programm...@jsoftware.com> wrote: > > > >> What are the best computer languages to deal with matrix operations? > >> > >> There are many programming languages that are well-suited for matrix > >> operations. Here are some of the most popular ones: > >> > >> - MATLAB: MATLAB is a proprietary programming language developed by > >> MathWorks. It is specifically designed for mathematical computing and > >> has a > >> wide range of built-in functions for matrix operations. MATLAB is a > >> powerful language, but it can be expensive to license. > >> [image: MATLAB programming language logo]Opens in a new window > >> <https://en.wikipedia.org/wiki/MATLAB>en.wikipedia.org > >> <https://en.wikipedia.org/wiki/MATLAB> > >> MATLAB programming language logo > >> - Python: Python is a general-purpose programming language that is > >> becoming increasingly popular for scientific computing. It has a large > >> and > >> active community of developers, and there are many libraries available > >> for > >> matrix operations. Python is also free and open-source. > >> [image: Python programming language logo]Opens in a new window > >> <https://en.wikipedia.org/wiki/Python_(programming_language)> > >> en.wikipedia.org > >> <https://en.wikipedia.org/wiki/Python_(programming_language)> > >> Python programming language logo > >> - Julia: Julia is a relatively new programming language that is > >> designed > >> to be fast and efficient for numerical computing. It is still under > >> development, but it has a growing community of users. > >> [image: Julia programming language logo]Opens in a new window > >> <https://en.wikipedia.org/wiki/Julia_(programming_language)> > >> en.wikipedia.org > >> <https://en.wikipedia.org/wiki/Julia_(programming_language)> > >> Julia programming language logo > >> - R: R is a statistical programming language that is widely used for > >> data analysis. It has a number of built-in functions for matrix > >> operations, > >> and there are many additional libraries available. > >> [image: R programming language logo]Opens in a new window > >> <https://commons.wikimedia.org/wiki/File:R_logo.svg> > >> commons.wikimedia.org > >> <https://commons.wikimedia.org/wiki/File:R_logo.svg> > >> R programming language logo > >> - C/C++: C/C++ are compiled languages that are known for their speed > >> and > >> efficiency. They are not as well-suited for matrix operations as some > >> of > >> the other languages on this list, but they can be used for very large > >> and > >> complex calculations. > >> [image: C programming language logo]Opens in a new window > >> <https://commons.wikimedia.org/wiki/File:C_Programming_Language.svg> > >> commons.wikimedia.org > >> <https://commons.wikimedia.org/wiki/File:C_Programming_Language.svg> > >> chevron_right > >> C programming language logo > >> > >> The best language for you will depend on your specific needs and > >> requirements. If you are looking for a powerful and versatile language with > >> a wide range of built-in functions, then MATLAB is a good choice. If you > >> are looking for a free and open-source language with a large community of > >> users, then Python is a good option. If you need a language that is fast > >> and efficient for numerical computing, then Julia is a good choice. If you > >> are primarily interested in statistical analysis, then R is a good choice. > >> And if you need a language that is very fast and efficient, then C/C++ are > >> good choices. > >> > >> Ultimately, the best way to decide which language is right for you is to > >> try them out and see which one you prefer. There are many resources > >> available online and in libraries that can help you get started. > >> Skip Cave > >> Cave Consulting LLC > >> ---------------------------------------------------------------------- > >> For information about J forums see http://www.jsoftware.com/forums.htm > >> > > > > > > -- > ---------------------- > mail written using NEO > neo-layout.org > ---------------------------------------------------------------------- > For information about J forums see http://www.jsoftware.com/forums.htm ---------------------------------------------------------------------- For information about J forums see http://www.jsoftware.com/forums.htm
