In the rapidly evolving artificial intelligence landscape, long language models (LLMs) have undoubtedly transformed the way we learn and create on the Internet. They provide extensive, conversational answers to a wide range of questions. However, they come with their limitations. They struggle to keep up to date, often produce incorrect information, and face challenges reasoning about complex topics such as mathematics, science, and logic. These deficiencies have left a gap in the provision of accurate and reliable information, especially in STEM fields.
In response to these challenges, You.com emerged as a pioneer in 2022 by launching a consumer product that leveraged LLM’s capabilities to access and query the Internet, ensuring answers were complete and up-to-date, with full citations. Building on this success, in spring 2023, You.com introduced multi-modal chat outputs, enhancing the user experience by providing interactive visual elements such as charts, graphs and applications, offering a reliable alternative to text-based responses, particularly in situations real. -time issues.
Now, You.com introduces the innovative YouAgent, which takes the concept of ai agents to a new level. Unlike conventional LLMs, YouAgent not only processes information but can also perform actions within its environment. This is made possible by a computing environment that runs Python code. The LLM can write and run code, opening up possibilities for solving complex STEM problems. Combined with YouAgent’s multi-step reasoning process, this code interpreter allows you to tackle complex STEM queries with unmatched precision.
Using YouAgent is simple. Users can start a query with “@agent” or “/agent” in the ai chat interface. This causes You.com to hire YouAgent, which can run Python code in your computing environment. Currently, each logged-in user can make up to five YouAgent queries daily, and YouPro subscribers enjoy an extended limit of up to 100 daily queries.
YouAgent’s performance on STEM benchmarks is nothing short of impressive. Compared to the formidable GPT-4, YouAgent consistently demonstrates superior accuracy in various tasks. In particular, there is a notable 27% absolute increase in accuracy on the official ACT math section. This is similar to the difference between a C- and A+ student, showing YouAgent’s prowess in computer-intensive assessments.
One of the standout features of YouAgent is its ability to address STEM questions that baffle other consumer LLM offerings. With access to a code execution environment and multi-step reasoning capabilities, YouAgent can reliably answer questions involving complex mathematical operations, setting it apart from its competitors.
Despite its achievements, YouAgent recognizes that it has room for growth. Achieving 100% benchmark accuracy is an ongoing pursuit that requires ongoing research and development. Additionally, the team aims to refine the execution of the code, ensuring that it is used wisely for optimal problem resolution.
Looking ahead, YouAgent has ambitious plans to expand its capabilities. This includes support for uploading files, generating image results such as diagrams and graphs, and performing web searches with code execution. Also on the horizon are the addition of more math and science libraries, improved math text formatting, and continued performance improvements across several STEM benchmarks.
In conclusion, YouAgent represents a significant step forward in harnessing the potential of ai agents. Addresses critical limitations faced by traditional LLMs, providing accurate and reliable information in STEM fields. By leveraging a computing environment to execute Python code, YouAgent demonstrates unmatched proficiency in solving complex problems. Looking to the future, YouAgent is poised to revolutionize the way we interact with and gain insights from ai technology, paving the way for a new era of learning and problem-solving in STEM disciplines.
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Niharika is a Technical Consulting Intern at Marktechpost. She is a third-year student currently pursuing her B.tech degree at the Indian Institute of technology (IIT), Kharagpur. She is a very enthusiastic person with a keen interest in machine learning, data science and artificial intelligence and an avid reader of the latest developments in these fields.
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