It is an undeniable fact that whenever a new, popular and eye-grabbing tool comes to the market, tech companies rush to replicate them and create their renditions.
GPT-3 has has written news articles and poems, produced books in 24 hours, created new content from deceased authors, and even wrote like Chetan Bhagat, a famous Indian author.
Why is there such intense competition in this field, or in other words, are other AI domains lagging behind NLP in terms of innovation?
GPT Neo is an open-source alternative to GPT 3. It is an open-source model trained like GPT 3, an autoregressive transformer using the mesh library.
GPT-4 will not have 100 trillion parameters.
The results of tests indicate that GPT-3 performed unpredictably.
Apart from the various interesting features of this model, one feature that catches the attention is its decoder-only architecture. In fact, not just PaLM, some of the most popular and widely used language models are decoder-only.
Azure Cognitive Services enables developers and data scientists of all skill levels to add AI capabilities to their apps easily.
Compared to GPT-3, InstructGPT produces fewer imitative falsehoods (according to TruthfulQA) and are less toxic (according to RealToxicityPrompts).
Today, most institutions employ text-matching software to counteract plagiarism.
Companies like Google and Facebook are deploying large language models (LLMs) for translation and content moderation. Meanwhile, OpenAI’s GPT-2 and GPT-3 are the most powerful language models that are able to write exceptionally convincing passages of text in a range of different styles (as well as complete musical compositions and finish writing computer code). Start-ups, […]
Latitude has unveiled the closed beta version of the platform Voyage to further expand into AI-powered games.