💡 AI models doomed to Hallucinate?

The Edge: Large language models like ChatGPT frequently make up facts, known as hallucination, due to how they are statistically trained on patterns.

Hallucinations can range from harmless to dangerous, like giving bad medical advice or distributing malicious code.
Models don't have true intelligence - they simply learn to associate words and concepts based on data patterns.
This probability-based approach works well overall but can't guarantee factual accuracy.

Have you experienced hallucinations with ChatGPT? If so what was it?

(Select one)

🍯 OpenAI releases Canva Plugin for GPT-4

Image Credit: Alternative To

The Edge: Yesterday, OpenAI launched a Canva plugin for ChatGPT to simplify the creation of visuals like logos and banners in a user-friendly way.

Exclusive to paying ChatGPT Plus subscribers for now, the plugin lets users describe their desired visual to produce options they can edit in Canva.
It allows Canva to leverage GPT-4 and aims to increase engagement
Makes it a more versatile tool catering to various user needs

🔎Extra Insights🔍

❄️ The chilling rise of AI scams

AI is now the main proponent of internet scams, making it more important than ever to be safe on the web. (Listen to podcast here)

🇨🇳 Baidu Launches 70+ AI Models in China

China has released over 70 large artificial intelligence language models with over 1 billion parameters. (Full article here)

📝 Students Weigh AI Use for College Essays

College applicants face a dilemma with generative AI like ChatGPT should they use it or not for essays? Very few schools have explicit policies. (Full article here)

💻 Real Life Use Cases

Chat GPT Prompt: Improve public speaking

Use this ChatGPT prompt to improve your public speaking skills

🔏 Copy and paste the prompt below ⏬

Develop a program to improve my public speaking skills. Include practice speeches, feedback mechanisms, and resources to become an effective communicator

Here’s a link to the results ⬇️

ChatGPT

chat.openai.com/share/450b95ef-1d3f-4623-9e62-5b2c1c4390da

Daily Definition

Hallucination

Hallucination refers to instances when the model generates or outputs information that wasn't present or suggested in the input data. Imagine a neural network trained to caption images: if it labels a dog in a picture that clearly doesn't contain a dog, it's "hallucinating" that detail. Such behaviors often arise from biases in the training data or from overfitting, where the model is too tightly tailored to its training examples and fails to generalize well to new data.

🔮 AI Inspiration

Poll Time! Which one Is the AI generated photo?

Credit

Find the answer here

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💡 AI models doomed to Hallucinate?

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