💡Text embeddings translate words into numbers, capturing the meaning of text.
🔍Semantic search returns results based on the meaning of a user's query.
🏷️Text classification assigns labels to text based on their meaning.
📊Text embeddings enable tasks like text classification and semantic search.
👥Text embeddings offer a lower computational cost and fewer security risks compared to large language models.
What are text embeddings?
—Text embeddings translate words into numbers, capturing the meaning of text.
What is text classification?
—Text classification assigns labels to text based on their meaning.
What is semantic search?
—Semantic search returns results based on the meaning of a user's query.
What tasks can text embeddings enable?
—Text embeddings can enable tasks like text classification and semantic search.
How do text embeddings compare to large language models?
—Text embeddings offer a lower computational cost and fewer security risks compared to large language models.
00:00Text embeddings translate words into numbers, capturing the meaning of text.
02:30Text classification assigns labels to text based on their meaning.
05:55Semantic search returns results based on the meaning of a user's query.
08:40Text embeddings enable tasks like text classification and semantic search.
12:39Text embeddings offer a lower computational cost and fewer security risks compared to large language models.
