Language Model for Dialogue Applications
- 15 Jun 2022
- 8 min read
Why in News?
A senior engineer at Google claimed that the company’s artificial intelligence-based chatbot Language Model for Dialogue Applications (LaMDA) had become “sentient”.
What is LaMDA?
- Google had first announced LaMDA at its flagship developer conference I/O (Input/Output) in 2021 as its generative language model for the dialogue applications which can assure that the application will be able to converse on any topic.
- LaMDA can engage in a free-flowing way about a seemingly endless number of topics, an ability that the company thinks can unlock more natural ways of interacting with technology and the entirely new categories of helpful applications.
- LaMDA can have a discussion on the basis of the user’s inputs thanks completely to its language processing model which has been trained on large amounts of dialogue.
- LaMDA 2.O:
- Google at I/O 2022 announced LaMDA 2.0 which will further build on these capabilities.
- The new model will possibly take an idea and generate imaginative and relevant descriptions, can stay on a particular topic even if a user strays off-topic, and can also suggest a list of things that are needed for a specified activity.
What is the other language-based AI tool capable of?
- Generative Pre-trained Transformer 3:
- An autoregressive language model that uses deep learning to produce human-like text.
- In 2020, an article was published, claiming that it was written entirely by an AI text generator known as Generative Pre-Trained Transformer 3 (GPT-3).
What is a Chatbot?
- Chatbots, also called chatterbots, is a form of Artificial Intelligence (AI) used in messaging apps.
- This tool helps add convenience for customers—they are automated programs that interact with customers like a human would and cost little to nothing to engage with.
- Key examples are chatbots used by businesses in Facebook Messenger, or as virtual assistants, such as Amazon's Alexa.
- Chatbots tend to operate in one of two ways—either via machine learning or with set guidelines.
- However, due to advancements in AI technology, chatbots using set guidelines are becoming a historical footnote.
- Chatbot with Set Guidelines:
- It can only respond to a set number of requests and vocabulary and is only as intelligent as its programming code.
- An example of a limited bot is an automated banking bot that asks the caller some questions to understand what the caller wants to do.
- Machine Learning Chatbot:
- A chatbot that functions through machine learning has an artificial neural network inspired by the neural nodes of the human brain.
- The bot is programmed to self-learn as it is introduced to new dialogues and words.
- In effect, as a chatbot receives new voice or textual dialogues, the number of inquiries that it can reply to and the accuracy of each response it gives increases.
- Meta (as Facebook's parent company is now known) has a machine learning chatbot that creates a platform for companies to interact with their consumers through the Messenger application.
- Chatbots are convenient for providing customer service and support 24 hours a day, 7 days a week.
- They also free up phone lines and are far less expensive over the long run than hiring people to perform support.
- Using AI and natural language processing, chatbots are becoming better at understanding what customers want and providing the help they need.
- Companies also like chatbots because they can collect data about customer queries, response times, satisfaction, and so on.
- Even with natural language processing, they may not fully comprehend a customer's input and may provide incoherent answers.
- Many chatbots are also limited in the scope of queries that they are able to respond to.
- Chatbots can be expensive to implement and maintain, especially if they must be customized and updated often.
- The challenges of AI metamorphosing into sentient are far in the future; however, unethical AI perpetuating historical bias and echoing hate speech are the real dangers to watch for.
- Chatbot with Set Guidelines: