Text Generation

Text Generation is the process of creating coherent and contextually relevant text automatically.

• Question Answering: Question Answering involves developing models capable of generating relevant answers to user queries based on a given context or knowledge base.

• Conversational Al: Conversational AI focuses on creating natural and engaging interactions between machines and humans. It includes chatbots, virtual assistants, and other systems capable of understanding and generating human-like conversation.

• Text Summarization: Text Summarization aims to condense and represent the essential information from a document or set of documents while preserving the key content.

• Machine Translation: Machine Translation involves automatically translating text or speech from one language to another. It is a critical component of multilingual communication and accessibility.

• Text Style Transfer: Text Style Transfer is a task in which the writing style of a given text is altered while retaining the original content. It is often used for creative purposes and adapting content to different audiences.

• Code Generation: Code Generation involves automatically generating programming code from high-level specifications or natural language descriptions. It is valuable for automating software development tasks.