Best On-Premise Natural Language Generation Software of 2024

Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for building better, faster and stronger AI. We help enterprises and public sector organizations transform their data into actionable insights. Our technology is used across many industries including Defense, Retail, Manufacturing, Media and Entertainment, and more. We help our customers create innovative AI solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been a market leader in computer vision AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai is headquartered in Delaware

Production-ready AI models that are fast and accurate. High-availability inference API that leverages the most advanced NVIDIA GPUs. We have selected the most popular open-source natural language processing models (NLP) and deployed them for the community. You can fine-tune your models (including GPT-J) or upload your custom models. Then, deploy them to production. Upload your AI models, including GPT-J, to your dashboard and immediately use them in production.

LaMDA, our most recent research breakthrough, adds pieces of the most intriguing piece of that puzzle: Conversation. Although conversations are more focused on specific topics, they can also be open-ended and lead to completely new areas. Talking to a friend about a TV program could turn into a conversation about the country in which the show was shot. Then, the conversation could lead to a debate about the best regional cuisine in that country. Modern chatbots, also known as chatbots, can be a bit stumped by this wandering quality. They tend to follow pre-determined paths and narrow conversations. LaMDA, which stands for "Language Model for Dialog Applications", can engage in a free-flowing manner about seemingly endless topics. This ability could open up new ways to interact with technology and help you find more useful applications.

BLOOM (autoregressive large language model) is trained to continue text using a prompt on large amounts of text data. It uses industrial-scale computational resources. It can produce coherent text in 46 languages and 13 programming language, which is almost impossible to distinguish from text written by humans. BLOOM can be trained to perform text tasks that it hasn’t been explicitly trained for by casting them as text generation jobs.