Home Artificial Intelligence ‘Text generation and chatbot AI’ topography… 700 corporations compete in 10 categories

‘Text generation and chatbot AI’ topography… 700 corporations compete in 10 categories

‘Text generation and chatbot AI’ topography… 700 corporations compete in 10 categories

Text generation and interactive AI topographical maps (Picture = Daybreak)

It’s counted that at the least 700 corporations are competing in the sector of text generation artificial intelligence (AI) similar to ‘ChatGPT’.

On the 18th (local time), VentureBeat introduced an industry topography by Daybreak Insights, which focuses on technology research, dividing the text-generating AI industry into 10 fields and featuring 120 representative corporations.

Daybreak breaks down the text generation AI industry by field ▲text summary ▲sentiment evaluation ▲text translation (ideal text evaluation) ▲virtual assistant ▲chatbot constructing platform ▲chatbot framework and NLP engine (ideal conversational AI) ▲writing tool ▲code It was classified into 10 categories similar to creation, search, and language models, and the corresponding corporations were specified. An outline of every category is provided below.

Daybreak Insights said that products with functions much like ChatGPT are widespread and are being added every single day.

■ Text summarization
It’s a function that uses AI to discover essential information in long texts and summarize them briefly sentences. Similar functions include keyword extraction, text classification and entity name recognition. Representative corporations include QuillBot, Upword, and spaCy.

■ Sentiment evaluation
It not only judges the emotion of the text positively or negatively, but additionally reads the tone, emotion, and intention behind the text. Sentiment evaluation is used to research consumer feedback and attitudes towards brands. Corporations on this space include MonkeyLearn, Repustate, and Cohere.

■ Text translation
AI-specialized translation corporations similar to DeepL, ModernMT, TextUnited, and PhraseAI fall under this category. Along with text, it also provides voice and video services.

■ Virtual assistants
Virtual assistant software responds to human language and assists users with text and voice in tasks similar to taking notes, scheduling appointments, recommending products, and treating mental health. Apple (Siri), AWS (Alexa), and Google (Bard and Google Assistant), in addition to BigTags similar to Augment, Replica, and SoundHound, are competing in a fierce field.

■ Chatbot constructing platforms
It provides an interface for non-developers to construct and deploy chatbots with no code. Representatives include Amelia, Avaamo, and Boost AI.

■ Chatbot frameworks and NLP engines
It not only provides an environment for developers to construct and deploy chatbots using code, but additionally builds a core component of natural language processing (NLP). Amazon (Amazon Lex), IBM Watson, Cognigy, Yellow AI, and Kore AI are competing.

■ Writers
A service that creates essays, poems, blog posts, copywriting, and more. Plenty of corporations are included, from Jasper, the leading player, to Grammarly, a grammar helper company that has recently joined the ranks of generative AI.

■ Coders
It supports generating code with text prompts and helps debugging existing code. Starting with GitHub Copilot, Tabnine, Replit, and Mutable AI made the list.

■ Search
Along with existing search corporations, startups which have launched services using chatbots in recent months are included. Along with Niva, U.com, and Xext, which have often been featured within the news, there are a lot of other corporations. ■ Language models
Corporations developing LLMs (Large Language Models) similar to OpenAI (GPT-4), Google (Lambda, BERT), Deep Mind (Chinchilla), and Big Science (BLOOM). Like the muse model of all of the above services, the table also supports the underside.

Reporter Lim Dae-jun ydj@aitimes.com



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