ChatGPT
ChatGPT is a free-to-use AI system.
Chat Generative Pre-Trained Transformer, is a sophisticated language model.
ChatGPT is a chatbot developed by OpenAI and launched on November 30, 2022.
Based on a large language model, it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language.
AI Tools
1. Natural Language Processing (NLP)
NLP Tools
Tokenization
Part-of-Speech Tagging
Named Entity Recognition (NER)
Sentiment Analysis
Language Translation - OpenNMT
Text Summmarization
Chatbots
Word Embeddings
Synatx Anlysis
Named Entity Linking(NEL)
Chat Generative Pre-Trained Transformer, is a sophisticated language model.
ChatGPT is a chatbot developed by OpenAI and launched on November 30, 2022.
Based on a large language model, it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language.
ChatGPT technology is built on a transformer-based architecture known as the Generative Pre-trained Transformer (GPT).
This architecture has transformed Natural Language Processing (NLP), allowing ChatGPT to interpret and create text in a more sophisticated manner.
Computer systems that imitate the human brain are known as Neural Networks.
Neural Networks are made up of layers of connected artificial neurons that work together to examine and interpret data.
In the case of ChatGPT, these neural networks are specifically designed for text analysis and creation.
AI Tools
1. Natural Language Processing (NLP)
NLP Tools
Tokenization
Part-of-Speech Tagging
Named Entity Recognition (NER)
Sentiment Analysis
Language Translation - OpenNMT
Text Summmarization
Chatbots
Word Embeddings
Synatx Anlysis
Named Entity Linking(NEL)
2. Computer Vision
3. Machine Learning Frameworks
TensorFlow
PyTorch
scikit-learn
4. Data Analytics
Tools:
Pandas
NumPy
Tableau
5. Speech Recognition
Tools:
Google's Speech=to-Text
CMU Sphinx
6. Virutal Assistants
Siri
Google Assistants
Alexa
7. Predictive Analytics
8. Robotics
9. AI Chatbots
10. Reinforcement Learning
OpenNMT
OpenNMT is an open-source neural machine translation(NMT) framework that facilitates the development and deployment of machine translation models.
1. Neural Network Architecture
2. Preprocessing Tools
3. Model Training
4. Embeddings
5. Inference and Translation
6. REST API
7. Scalability
8. Support for Multiple Languages
3. Machine Learning Frameworks
TensorFlow
PyTorch
scikit-learn
4. Data Analytics
Tools:
Pandas
NumPy
Tableau
5. Speech Recognition
Tools:
Google's Speech=to-Text
CMU Sphinx
6. Virutal Assistants
Siri
Google Assistants
Alexa
7. Predictive Analytics
8. Robotics
9. AI Chatbots
10. Reinforcement Learning
OpenNMT
OpenNMT is an open-source neural machine translation(NMT) framework that facilitates the development and deployment of machine translation models.
1. Neural Network Architecture
2. Preprocessing Tools
3. Model Training
4. Embeddings
5. Inference and Translation
6. REST API
7. Scalability
8. Support for Multiple Languages
ChatGPT is a language model developed by OpenAI. It is designed for natural language understanding and generation, specifically in a conversational context.
Generative AI application
Trained on billions of documents.
Based on Generative Pre-Trained Transformer (GPT) architecture, a type of neural network.
Web interface for end-users, API for developers.
Large Language Models (LLMs)
Large Language Models (LLMs) are powerful artificial intelligence models designedfor understanding and generating human-like text.
Neural network - Transformers
Prompt Engineering
A prompt is a specific question, command, or input that you provide to an AI system to request a particular reponse, information and action.
Prompt engineering is the process of crafting well-defined and structured input queries to interact with AI systems, in order to get accurate and relevant responses.
Embeddings
Embeddings are numerical representation of text.
They are essential for AI models to understand and work with human language effectively.
Fine Tunning
Fine-tuning a LLM is the process of adapting a pre-trained model to perform specific tasks or to cater to a particular domain more effectively.
The simulation of human intelligence processes by computer systems.
Machine Learning
Deep Learning
Natural Language Processing -> Large Language Models (LLMs), GPT (Generative Pretrained Transformer), ChatGPT
Computer Vision
Robotics
Speech Recognition
NLP/GPT/ChatGPT - Generate human-like text based on an input
DALL-E - image generation
WHISPER - generate English text
Building the prompt:
The 5W questions and HOW framework
5W are: what, who, where, why, which
what are you asking the system to perform?
what is the desired output?
what is the company's business?
who is asking?
who should the AI simulate?
who are the firm's clients?
where? based
why? explain the purpose.
Which aspects should be included?
How does the AI respond?
Github - copolit
AWS Code wishperer
GitHub Copilot
//prompt for required code example
eg:
//main - will give main method
/explain
/fix
/review and suggest potential
/help
/clear
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