- The Stoke
- Posts
- September 26th, 2023
September 26th, 2023
Sarah Stoker
November 29, 2023
I’m so glad you’re here.
Here's the line-up today:
ChatGPT Upgrades: Voice, Images and more! 🚀
Getty Images Makes a Huge Announcement 🤩
Check out our fav content creator rn, Mr. Grateful 😎
⭐️ Question: How do I create time to learn about AI tools?
Answer: Snap Pictures and Talk directly with ChatGPT in their new update 📸
ChatGPT can now understand spoken questions and commands using voice interaction on mobile. This allows more natural, conversational interactions.
Users can share images with ChatGPT, which helps provide visual context and improves its responses and recommendations.
Together, the new voice and image features create a more intuitive interface for accessing ChatGPT across use cases like travel, cooking, and education.
🧠 Industry Insights
Getty Images Launches AI Visual Content Tool With Full Usage Rights
Getty is launching a new generative AI tool that pairs Getty's creative content library with NVIDIA's AI technology to create new visual content.
Getty is providing full indemnification and usage rights for content created with the tool, allowing commercial use without legal risks.
The tool is available on their website and via API integration, allowing it to be incorporated into customer workflows and applications.
🎥 Creator Highlight: Mr. Grateful
Domenic (Mr. Grateful) is motivated to make a bigger impact in education beyond just creating online courses. He wants to address key problems like lack of guidance, adaptability, and access.
He proposes to involve creating AI tutors to provide instant guidance, customizing learning with AI, and making courses more accessible via a subscription model.
He is starting with an MVP focused on building AI courses for different career fields. The audience is asked to comment on what fields they want courses in.
Mr. Grateful’s key focus is using AI to improve educational access, adaptability, and guidance. Love it.
Definition: Prompt Engineering
Identifying inputs — prompts — that result in meaningful outputs. As of now, prompt engineering is essential for LLMs. LLMs are a fusion of layers of algorithms and, consequently, have limited controllability with few opportunities to control and override behavior. An example of prompt engineering is providing a collection of templates and wizards to direct a copywriting application.
👀 Job Board
Here are some awesome open positions in the AI space that we would love to see one of our readers fill: