This is the Windows app named Ax whose latest release can be downloaded as Release11.0.50sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Ax with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
Ad
Ax
DESCRIPTION
Build intelligent agents quickly — inspired by the power of "Agentic workflows" and the Stanford DSPy paper. Seamlessly integrates with multiple LLMs and VectorDBs to build RAG pipelines or collaborative agents that can solve complex problems. Advanced features streaming validation, multi-modal DSPy, etc. We've renamed from "llmclient" to "ax" to highlight our focus on powering agentic workflows. We agree with many experts like "Andrew Ng" that agentic workflows are the key to unlocking the true power of large language models and what can be achieved with in-context learning. Also, we are big fans of the Stanford DSPy paper, and this library is the result of all of this coming together to build a powerful framework for you to build with.
Features
- Support for various LLMs and Vector DBs
- Prompts auto-generated from simple signatures
- Build Agents that can call other agents
- RAG, smart chunking, embedding, querying
- Convert docs of any format to text
- Automatic prompt tuning using optimizers
- Multi-modal DSPy supported
Programming Language
TypeScript
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/ax-llm.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
