Home Machine Learning Create OpenAI Customized GPTs RAG Sample

Create OpenAI Customized GPTs RAG Sample

0
Create OpenAI Customized GPTs RAG Sample

[ad_1]

OpenAI introduced its intent to let prospects construct their very own “GPTs” throughout their DevDay convention on November 6, 2023. This is what they mentioned on their corresponding weblog that day.

We’re rolling out customized variations of ChatGPT you could create for a particular goal — known as GPTs. GPTs are a brand new manner for anybody to create a tailor-made model of ChatGPT to be extra useful of their day by day life, at particular duties, at work, or at house — after which share that creation with others. For instance, GPTs can assist you be taught the principles to any board sport, assist educate your children math, or design stickers. — OpenAI

Creating customized variations of ChatGPT sounds wonderful. However there’s a caveat: it’s essential to have a GPT Plus or Enterprise account to make use of the brand new GPTs. The price begins at US$20 monthly. Nonetheless, if different GPT Plus customers work together along with your customized GPT, OpenAI pays you a small royalty primarily based on the variety of consumer interactions.

I spent the final month experimenting with customized GPTs to grasp the system’s advantages and limitations. I constructed a inventive writing chatbot known as the RobGon Dialog Assistant, which suggests new dialog impressed by literature within the public area. I additionally created two variations of a chatbot to generate musical chord progressions primarily based on songs within the public area. The primary model, RobGon Chord Composer, masses related music information from a easy textual content file. The second model, RobGon Chord Composer Presto, will get the music information through a customized service I wrote.

Retrieval Augmented Era

Giant Language Fashions (LLMs), like ChatGPT, typically carry out higher if they will entry exterior information earlier than answering customers’ questions. This method is named Retrieval Augmented Era (RAG) [1]. As a substitute of solely counting on the LLM’s inside reminiscence, RAG programs can discover and inject related textual content information that will assist the language mannequin deal with the customers’ queries.

These retrieval programs can work in numerous methods. One technique is to make use of a semantic textual content search primarily based on the…

[ad_2]