OPT - Open Pre-trained Transformer Language Models

OPT - Open Pre-trained Transformer Language Models

OPT - Open Pre-trained Transformer Language Models

Open Pre-trained Transformer Language Models

Pricing

Free

Tool Info

Rating: N/A (0 reviews)

Date Added: April 17, 2024

Categories

LLMsDeveloper Tools

Social Links

Description

OPT (Open Pre-trained Transformer Language Models) is a language model developed and released by Meta AI. It is introduced in the Open Pre-trained Transformer Language Models project. OPT is built on the Transformer architecture and is trained on a large corpus of text data. The model is available from the Hugging Face model repository. Please refer to the official model card for detailed information on the model's capabilities and training methods.

Key Features

Large pre-trained language model.
Built on the Transformer architecture.
Trained on a large corpus of text data.
Available for fine-tuning and downstream tasks.

Use Cases

Natural language understanding.
Natural language generation.
Question answering.
Chatbot development.

Other Tools in the Same Category

World Labs

World Labs specializes in developing spatially intelligent AI that generates interactive 3D scenes from images.

Hoody AI

Hoody AI provides a privacy-focused interface for accessing multiple AI models anonymously.

Stack AI

Integrate Large Language Models with your application in minutes.

LLM Token Counter

A sophisticated tool for managing token limits in Language Models.

AlexaTM 20B

AlexaTM 20B is a multilingual large-scale sequence-to-sequence (seq2seq) model designed for few-shot learning.

Salesforce xGen

Salesforce xGen is an open-source in-house language model tailored for generative text applications.

Superpipe

Superpipe is a lightweight framework for building, evaluating, and optimizing LLM pipelines for structured data.

Slate

A playground for ideas with seamless integration with large-language models.