Intro to OpenAI GPT-4 Text- Embedding-3 (New-Update)

Author(s): Gao Dalie (高達烈)

Originally published on Towards AI.

if you are creating an advanced bot or automation with Open AI, you will likely need to check how similar two or more pieces of text are. using embedding helps us do this.

at the end of the Post, you will be able to understand how to use text-embedding-3 and demonstrate how text-embedding-3 improved the performance as well as some hands-on experience by building out a project that uses text-embeddings-3 to make sure you understand at the end of this Post

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Open AI has Announced a new embedding model called text-embedding-3. This model includes two new embedding models:

text-embedding-3-small: small and efficienttext-embedding-3-large: Larger and more powerful

“text-embedding-3-small” has an average score of 31.4% to 44.0% on the multilingual search benchmark (MIRACL) compared to the previous model “text-embedding-ada-002”, a benchmark for English tasks. (MTEB) improved from 61.0% to 62.3%.

Also, “text-embedding-3-large” is a new large model that creates embeddings of up to 3072 dimensions, with an average score of 54.9% from 31.4% on MIRACL and 64.6% from 61.0% on MTEB. has improved.

the price is also 5… Read the full blog for free on Medium.

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Published via Towards AI