WOLFRAM

Wolfram Tools for LLM & AI Researchers

The Wolfram technology stack provides tightly integrated tooling for LLM and AI research. Use the full range of Wolfram's computation+knowledge capabilities—analytics, visualization and connectivity—to systematically explore, benchmark and enhance LLM and AI systems. Get unique insights into LLM science and the behavior and inner workings of AI systems.

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Connections to LLMs, LRMs, LCMs, Foundation Models and More

Programmatically access LLMs, large reasoning models, large concept models, databases and everything else you need to build LLM-enabled pipelines. Bring together real-world data, content generation, code execution, analysis and presentation. Access dozens of service providers like OpenAI, Anthropic, HuggingFace, arXiv and more with a single framework.

Wolfram Language for Automated Scientific Computation

Combine the human-like intuition of LLMs with the computational power, abstraction, flexibility and readability of Wolfram Language, the premier tool for multidisciplinary scientific computing. Create AI science workflows using LLMs to model, analyze and report results.

LLM Benchmarking and Comparisons

Use convenient tools to compare the performance of different models and prompting techniques and test the latest methods. Wolfram Language provides high-level controls for automated benchmarking.

Tools for Retrieval-Augmented Generation

Provide LLMs with accurate information to avoid hallucinations. Use, create and share tools to support programmatic or user interface–based LLM tasks, from working with vector databases to sandbox code evaluation.

High-Level LLM Controls

Programmatically create prompts, switch personas, summarize results and wrangle fuzzy datasets by combining Wolfram Language and LLMs. Use flexible frameworks for controlling the interactions of multiple LLMs or LLMs and users.

Low-Level Interpretability

Understand your AI tools. Analyze parameter distributions, trajectories in latent space and the effects of changing hyperparameters on your benchmarking task. Tightly integrating visualization and machine learning interpretability, Wolfram Language lets you demystify AI.

Semantic Embeddings

Semantic embedding of text is a key innovation underlying LLMs. Explore the relationship between various embeddings and semantic meaning with the powerful analytics and visualizations of Wolfram Language.

Computational Notebook Integration

Organize and share your work in computational notebooks combining text, code, graphics and custom interactive elements. Use an AI assistant for interactive chat-based access to LLMs, including assistance with Wolfram Language code and other notebook content.

Integrate with External Systems

Build on your existing code and collaborate with people using other systems, with built-in support for common external languages and formats.