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Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. Artificial intelligence algorithms are commonly developed and employed to achieve this, specialized for different types of data.
Synthesize 200K non-reasoning data (writing, factual QA, self-cognition, translation) using DeepSeek-V3. SFT DeepSeek-V3-Base on the 800K synthetic data for 2 epochs. Apply the same GRPO RL process as R1-Zero with rule-based reward (for reasoning tasks), but also model-based reward (for non-reasoning tasks, helpfulness, and harmlessness).
Reading scientific papers is a tough job. Thankfully, researchers at the Allen Institute for Artificial Intelligence have developed a new model to summarize text from scientific papers, and ...
Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.
Toloka also works with freelancers, referred to as "Tolokers," who annotate and create data for diverse applications. [1] They perform tasks such as labeling personally identifiable information for AI projects, translating content, summarizing information, and transcribing audio to text. [1]
On December 23, 2022, You.com was the first search engine to launch a ChatGPT-style chatbot with live web results alongside its responses. [25] [26] [12] Initially known as YouChat, [27] the chatbot was primarily based on the GPT-3.5 large language model and could answer questions, suggest ideas, [28] translate text, [29] summarize articles, compose emails, and write code snippets, while ...
Helping in this regard is New York and London based Synthesia, a company whose AI tech is so advanced they can produce AI-generated versions of their clients that look, sound, and gesticulate just ...
Web scraping is the process of automatically mining data or collecting information from the World Wide Web. It is a field with active developments sharing a common goal with the semantic web vision, an ambitious initiative that still requires breakthroughs in text processing, semantic understanding, artificial intelligence and human-computer interactions.