- Added on December 12 2023
- https://chat.openai.com/g/g-wMbcgEmGg-haskell-gpt
How to use Haskell GPT?
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Step 1 ： Click the open gpts about Haskell GPT button above, or the link below.
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Step 2 ： Follow some prompt about Haskell GPT words that pop up, and then operate.
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Step 3 ： You can feed some about Haskell GPT data to better serve your project.
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Step 4 ： Finally retrieve similar questions and answers based on the provided content.
FAQ from Haskell GPT?
Haskell GPT is a language model library based on the transformer architecture, written in Haskell for Natural Language Processing (NLP) tasks. It is based on the GPT (Generative Pre-trained Transformer) models of OpenAI that uses deep learning to generate natural language text. Haskell GPT consist of pre-trained model checkpoints and can be fine-tuned on new tasks and data. It also provides utilities to prepare and pre-process text data for training and inference.
Haskell GPT offers various features including support for multi-layer and multi-head attention mechanisms, layer normalization, and recurrent neural networks. It provides an interface for fine-tuning models and utilities for tokenizing and preprocessing text data. Haskell GPT also allows users to customize the hyperparameters of GPT models and create new models with fewer or additional layers.
Haskell GPT can be used for various NLP tasks such as text classification, language modeling, and machine translation. It can also be used for sentiment analysis, text generation, and question-answering tasks. Haskell GPT can also be used for academic research and industrial applications that require large-scale natural language processing.