In addition to this, the community has also contributed various functions that can extend the functionality of the language beyond its already-comprehensive list of inbuilt functions. The prompt repository is a community-contributed prompts platform that will allow the LLM in Wolfram language to adopt many different personas, each with discrete use-cases. While he stated that Wolfram language will continue to become “increasingly integrated as a tool into LLMs’, the prompt repository currently showcases the capabilities of the language’s new AI tools. To extend the functionality of the LLM even further, Wolfram also launched the prompt repository, which can be used to get additional function prompts and modifier prompts. The code assistant persona writes codes and explains it, the code writer persona only generates the code, while others like Wolfie and Birdnado respond to the user “with an attitude”. It also comes with a few different personas, each geared towards a different purpose. This means that it can also debug existing code in Wolfram language, and can even look at details like stack trace and error documentation to fix broken code. The in-built LLM has self-correcting capabilities as well, allowing it to fix its own errors before running it and outputting code snippets. But if you’re exploring something new, or just getting started on something, the LLM is likely to be a really valuable way to “get you to first code.” Stephen thinks this is a natural step to the existing capabilities of the program, stating, “When you’re doing something you’re familiar with, it’ll almost always be faster and better to think directly in Wolfram Language, and just enter the computational language code you want. Stephen called this interface an example of “using an LLM as a linguistic interface with common sense”, as it allows the users to interact with the language without needing to know the syntax. This allows users to easily interact with LLMs in the Wolfram Notebook through a text box, allowing them to generate powerful code in the Wolfram language. After the chatbot plugin and LLM function calling, Stephen introduced Chat Notebooks. The 13.3 update seems to be a step towards this direction, bringing LLMs directly into Wolfram language through a LLM subsystem. It’s something that you can do in a very beautiful way.” Stephen then embarked upon a journey to take symbolic language to new heights, saying to AIM, “We’re about to use the symbolic language to provide a way of using LLM as a component in a larger software stack. Wolfram’s tryst with LLMs began with the creation of the Wolfram ChatGPT plugin, which empowered the chatbot with the symbolic programming capabilities of the language. To bolster the language’s logical problem-solving capabilities, Stephen Wolfram, the creator of the language, decided to add in LLM capabilities to the bot. Using code, the language can perform many complex mathematical functions, such as algebra, matrix manipulations, and differential equations. The Wolfram language’s strengths lie in its symbolic programming capabilities. What’s more, with the Wolfram language API, this can be plugged in to larger systems, delivering amazing power through a natural language interface. This approach combines Stephen Wolfram’s idea of natural language programming along with the Wolfram language’s symbolic programming, creating a force to be reckoned with. With these new updates, developers have a whole new way of interfacing with their data. It also builds on the LLM functions technology added in May, which ‘packages’ AI powers into a callable function, with the new subsystem now being user-addressable. The update puts LLMs directly into the language with the introduction of an LLM subsystem for the language. This update comes on the heels of Wolfram slowly building the tooling for making the language LLM-ready. In the latest version 13.3 update, the Wolfram language has added support for LLM technology, as well as integrating an AI model into the Wolfram Cloud. After being one of the first plugins to ever come to ChatGPT, Wolfram has now gone all in on the LLM wave.
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