# Pretraining vs. Fine-Tuning: What's the Difference?
4 min read
Let’s deep dive into pretraining and fine-tuning today!
/ tags/ daily-ai-insights
# What Is an Embedding? The Bridge From Text to the World of Numbers
5 min read
An embedding is the “translator” that converts language into numbers, enabling AI models to understand and process human language. AI doesn’t comprehend words, sentences, or syntax—it only works with…
# Fine-Tuning Models: Unlocking the Extraordinary Potential of AI
3 min read
Fine-tuning is a key process in AI training, where a pre-trained model is further trained on specific data to specialize in a particular task or domain.
# Discovering the Joy of Tokens: AI’s Language Magic Unveiled
5 min read
Today’s topic might seem a bit technical, but don’t worry—we’re keeping it down-to-earth.
# Parameters vs. Inference Speed: Why Is Your Phone’s AI Model ‘Slimmer’ Than GPT-4?
3 min read
This was covered in a previous issue: What Are Parameters? Why Are “Bigger” Models Often “Smarter”?
# What Is Prompt Engineering and How to "Train" AI with a Single Sentence?
5 min read
Prompt Engineering is a core technique in the field of generative AI. Simply put, it involves crafting effective input prompts to guide AI in producing the desired results.
# What Are Parameters? Why Are “Bigger” Models Often “Smarter”?
4 min read
In deep learning, parameters are the trainable components of a model, such as weights and biases, which determine how the model responds to input data. These parameters adjust during training to…
# 7 Key Insights on the Self-Attention Mechanism in AI Magic
5 min read
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