Making Your AI Work: In-House vs. 'Off-The-Shelf' Generative AI Models
In-House vs. 'Off-The-Shelf' Generative AI Models. Generative AI is revolutionising industries and driving growth, with data being its core element.
Brett StClair & Michael Cowen
July 12, 2023
Hot News To Make Your AI Work this Week!
Midjourney prompt: data streams flowing through a women’s hair as if a futuristic cityscape into a central AI brain with brand colours purple, orange and teal
< Welcome to the AI Revolution
“We need a motto for the Age of AI. Our motto must be catchy and motivational. To be credible, it must be deeply true.
Who Learns Fastest, Wins.“ - Rich Karlgaard, Forbes Staff
Check Out This Week’s Lineup Of Exciting AI News:
💬 (Top Story) In-House Vs. Off-The-Shelf Generative AI Models
❓ How Are The Experts Feeling About AI & ChatGPT?
🎓 Building The Guardrails for Education and Gen AI
🔐 Generative AI: Watch Out for These 3 Security Risks
< In-House Vs. Off-The-Shelf Generative AI Models
Midjourney prompt: Imagine Generative AI as a mini world
The acquisition of MosaicML by Databricks highlights the growing generative AI sector. Businesses recognize the importance of well-structured, AI-ready data. Generative AI is revolutionising industries and driving growth, with data being its core element.
To ensure accurate results and address privacy and security concerns, companies require large volumes of meticulously organised and easily accessible high-quality data, rather than relying on off-the-shelf models trained on generic internet data.
The Databricks-MosaicML partnership demonstrates the benefits of in-house language models built on proprietary data. However, alternatives like Google's Vertex AI and Gen app builder provide a comprehensive suite of AI tools, bridging the gap between generic and custom models.
Read the article here > 🔗 Link
< How Do The Experts Feel About AI & ChatGPT?
Midjourney prompt: differing opinions on Generative AI in a high tech and colourful way
Opinions on AI differ widely. Some see GPT-4 as a sign of imminent AGI, while others disagree. In this article, researchers express diverse concerns: job disruptions, biases, and misinformation. A whirlwind of viewpoints!
Read the article here > 🔗Link
< Building The Guardrails For Education & Generative AI
Midjourney prompt: a bustling classroom with a central AI-powered guide and information source
UK universities adopt AI code for student and staff literacy. The code promotes AI opportunities and academic integrity. It advises teaching proper AI use, addressing risks like plagiarism and bias.
Read the article here > 🔗Link
< Generative AI: Watch Out For These 3 Security Risks
Midjourney prompt: contrast the power and risks of Generative AI showing hope and fear
Generative AI is powerful, but risky. It can revolutionise industries but also pose cybersecurity threats. Malware, social engineering, and data breaches are concerns. Organisations must be aware of the risks and potential dangers of generative AI.
Read the article here > 🔗 Link
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