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Stellar Labs vs Chat GPT: How specialists prompts beats DIY design

Tune into the "Mind The Skills Gap" podcast for a focused discussion on the strategic use of artificial intelligence in enhancing workplace learning.

Blog Posts
Stellar Labs vs Chat GPT: How specialists prompts beats DIY design
March 12, 2024
:
2
Minutes
Stellar Labs vs Chat GPT: How specialists prompts beats DIY design

Tune into the "Mind The Skills Gap" podcast for a focused discussion on the strategic use of artificial intelligence in enhancing workplace learning.

With Callum Clark, the brains behind Stellar Labs' AI, we're tearing down the complexities of AI and laying out the blueprint for its effective use in training.

1. AI's Visible Impact: AI became something people could interact with and see the outcomes of their interactions, moving from a background tool to a tangible, impactful resource with platforms like Chat GPT.

2. Use AI Sensibly: It's important to use AI only in scenarios where it's truly needed. If something can be done effectively without AI, then it's better to stick with that method. Only turn to AI when it offers a clear benefit over traditional approaches. Well-written rule-based systems almost always outperform an AI-based one in every domain.

3. Streamlining course creation: When creating course content with tools such as Chat GPT, there would be extensive copying and pasting, manually transferring information between prompts, templates, and tools, which can be exhausting and prone to inefficiencies and errors. Stellar Labs streamlines the course creation process, allowing quick course content generation, validation, and deployment.

4. Supporting SMEs: The platform enables subject matter experts to contribute knowledge effectively, with AI transforming this input into structured learning content, making it crucial for SMEs to focus on their expertise while AI enhances its educational delivery.

5. Data Security is crucial: Data security is really important, and Stellar Labs benefits from the advanced security measures built by Microsoft. This ensures that there's no need to worry about data being used for training by Open AI or any other language models, keeping sensitive information secure and contained.

6. Monitoring and intervention: Being able to observe learners' progress and step in when necessary is key. It's essential to have the capability to provide timely interventions, ensuring learning is effective and tailored to individual needs.

Whether you're deep in the tech world, a learning & development professional, or simply AI-curious, this episode is packed with insights, expert tips, and resources you won't want to miss!

You can listen to the episode down below:

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