ResearchAIde

Automate time-consuming research tasks like summarizing papers, extracting data, and synthesizing your findings. Ask a research question and get back a list of relevant papers from our database of 200 million. Get one-sentence abstract summaries. Select relevant papers and search for more like them. Extract details from papers into an organized table. Get a list of the things you’re looking for, synthesized from many papers. Find themes and concepts across all the papers. Extract details from papers at 50% of the time and cost of doing it manually. Search across 200 million academic papers using natural language. Search papers, extract data, and summarize concepts. Custom workflows and data sources. Elicit uses language models to extract data from and summarize research papers. As a new technology, language models sometimes make up inaccurate answers. We fine-tune our models on a per-task basis and constantly iterate to make them more accurate.

IBM watsonx Assistant (Formerly Watson Assistant) is a market-leading enterprise conversational AI platform that allows you to build intelligent virtual and voice assistants that can provide customers with fast, consistent and accurate answers across any messaging platform, application, device or channel. Using artificial intelligence and large language models, watsonx Assistant learns from customer conversations, improving its ability to resolve issues the first time while removing the frustration of long wait times, tedious searches and unhelpful chatbots. Most chatbots try to mimic human interactions, frustrating customers when a misunderstanding arises. IBM watsonx Assistant is more than a chatbot. It knows when to search for an answer from a knowledge base, when to ask for clarity and when to direct users to a human agent for more assistance. And since it can be deployed in any cloud or on-premises environment – smarter AI is finally available wherever you need it.