OpenAI is a nonprofit artificial intelligence (AI) organization. Elon Musk and Sam Altman founded his company in 2015 and it is headquartered in San Francisco, California. OpenAI has developed a preliminary set of best practices that can be applied to any organization developing or deploying large-scale language AI models.
LLM (Large-Scale Language Model)
Large-scale language models (LLMs) are fundamental artificial intelligence algorithms that use deep learning algorithms to process and understand natural language. Tasks such as text generation, machine translation, summarization, image generation from text, machine coding, chatbots, and conversational AI are applications of large-scale language models. In other words, LLM is a machine learning neural network trained through data input. output set.
OpenAI’s LLM AI model
GPT3.5
GPT-3.5 Generative Pre-trained Transformer 3 (GPT-3) is a language model that uses deep learning to generate human-like text. The most high-performance and cost-effective model. GPT-3 models can understand and generate natural language and code, and can generate code, stories, poems, and more.
latest model | max token | training data |
gpt-3.5-turbo | 4,097 tokens | Until September 2021 |
gpt-3.5-turbo-16k | 16,385 tokens | Until September 2021 |
gpt-3.5-turbo instructions | 4,097 tokens | Until September 2021 |
gpt-3.5-turbo-0613 | 4,097 tokens | Until September 2021 |
gpt-3.5-turbo-16k-0613 | 16,385 tokens | Until September 2021 |
gpt-3.5-turbo-0301 (legacy) | 4,097 tokens | Until September 2021 |
text-davinci-003 (legacy) | 4,097 tokens | Until June 2021 |
text-davinci-002 (legacy) | 4,097 tokens | Until June 2021 |
code-davinci-002 (legacy) | 8,001 tokens | Until June 2021 |
embedded
An embedding is a numerical representation of text that can be used to measure the relationship between two texts. Text embedding is an essential tool in the field of natural language processing (NLP). These are numerical representations of text, where each word or phrase is represented as a dense vector of real numbers. Embeddings are useful for search, recommendation, anomaly detection, and classification tasks.
GPT4
GPT-4 is OpenAI’s powerful Large Language Model (LLM). GPT-4 is a large-scale multimodal model that can solve difficult problems with higher accuracy than previous GPT models. GPT-4 has the ability to interpret images, so you can use it to generate text from visual prompts such as photos.
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latest model | max token | training data |
gpt-4 | 8,192 tokens | Until September 2021 |
gpt-4-0613 | 8,192 tokens | Until September 2021 |
gpt-4-32k | 32,768 tokens | Until September 2021 |
gpt-4-32k-0613 | 32,768 tokens | Until September 2021 |
gpt-4-0314 (legacy) | 8,192 tokens | Until September 2021 |
gpt-4-32k-0314 (legacy) | 32,768 tokens | Until September 2021 |
How can I use LLM AI models in Magento?
With the help of LLM, you can enhance the functionality and customer engagement of your Magento store.
You can create a product review summary for your product. LLM captures all reviews and provides a review summary. This helps customers know whether the product is good for them or not. Products have such types of review summaries, which increases customer engagement.
AI-generated order success messages can be displayed on the order success page. When customers buy a product, they see its uses and features.