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Types of AI models and their benefits in Magento2

Updated 29 April 2024

LLM (Large Language Models)

Large Language Models (LLMs) are foundational artificial intelligence algorithms. it uses deep learning algorithms to process and understand natural language. Tasks like text generation, machine translation, summary writing, image generation from texts, machine coding, chat-bots, or Conversational. In short, an LLM is a machine-learning neuro network trained through data input/output sets.

OpenAI’s LLM AI models

GPT 3.5

GPT-3.5 Generative Pre-trained Transformer 3 (GPT-3) is a language model, that uses deep learning to generate human-like text. it is the most capable and cost-effective model. GPT-3 models can understand and generate natural language or code. they can generate code, stories, poems, etc

LATEST MODELMAX TOKENSTRAINING DATA
gpt-3.5-turbo4,097 tokensUp to Sep 2021
gpt-3.5-turbo-16k16,385 tokensUp to Sep 2021
gpt-3.5-turbo-instruct4,097 tokensUp to Sep 2021
gpt-3.5-turbo-06134,097 tokensUp to Sep 2021
gpt-3.5-turbo-16k-061316,385 tokensUp to Sep 2021
gpt-3.5-turbo-0301 (Legacy)4,097 tokensUp to Sep 2021
text-davinci-003 (Legacy)4,097 tokensUp to Jun 2021
text-davinci-002 (Legacy)4,097 tokensUp to Jun 2021
code-davinci-002 (Legacy)8,001 tokensUp to Jun 2021

Embeddings

Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces of text. Text embeddings are an essential tool in the field of natural language processing (NLP). They are numerical representations of text where each word is represented as a dense vector of real numbers. Embeddings are useful for search, recommendations, anomaly detection, and classification tasks.

GPT 4

GPT-4 is a powerful large language model (LLM) from OpenAI. GPT-4 is a large multimodal model. GPT-4 can solve difficult problems with greater accuracy than any of the previous GPT models. GPT-4 has the ability to interpret images so you can use it to generate text from visual prompts like photographs.

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LATEST MODELMAX TOKENSTRAINING DATA
gpt-48,192 tokensUp to Sep 2021
gpt-4-06138,192 tokensUp to Sep 2021
gpt-4-32k32,768 tokensUp to Sep 2021
gpt-4-32k-061332,768 tokensUp to Sep 2021
gpt-4-0314 (Legacy)8,192 tokensUp to Sep 2021
gpt-4-32k-0314 (Legacy)32,768 tokensUp to Sep 2021

How can we use the LLM AI models for Magento?

With the help of Open Source LLM, we can enhance the features of our Magento 2 customer engagement. Customers can ask questions related to the products and the AI chatbot will respond accordingly.

We can create a product review summary of a product. LLM take all review and provide a review summary. that can help customers know if the product is good for them or not. because products have such type of review summary so customer engagement will increase.

We can show an AI-generated order success message on the order success page. when a customer purchases a product. he sees its uses and features to the customer.

The store admin can also perform mass action to create content for bulk products. The content gets created for long and short descriptions according to the topic search for the product Magento 2 ChatGPT Content Generator 

Enhance your online shopping experience with our intelligent chatbot, capable of offering accurate support and seamless assistance using Magento 2 Chatbot.

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