The article discusses the emergence of AI agents in enterprise IT, highlighting Orby's development of Large Action Models (LAMs) designed for automating complex workflows. These models, unlike traditional LLMs, process actions such as application interactions and automate tasks in enterprise environments like Salesforce and SAP. The concept of 'traces,' sequences of actions for specific tasks, is used to fine-tune LAMs, and Orby's AI agent software stack allows for customization and scaling by technical personnel.
- Shows how an individual can use Python for speech recognition (SR), Push-to-- Talk (PTT) systems, and large action models to create their own AI assistant.
- Describes the process of creating a "la Rabbit prototype" with Python code on Raspberry Pi hardware.
- Emphasizes how these components can be combined for various tasks using different APIs like OpenAI or LLaMA (Large Language Model from Meta).
- Describes the process of creating a "la Rabbit prototype" with Python code on Raspberry Pi hardware.
- Emphasizes how these components can be combined for various tasks using different APIs like OpenAI or LLaMA (Large Language Model from Meta).
