Research out of Princeton University makes a critical commentary on the current practice of evaluating artificial intelligence (AI) agents predominantly based on accuracy. The researchers argue that this unidimensional evaluation method leads to unnecessarily complex and costly AI agent architectures, which can hinder practical implementations.
The evaluation paradigms for AI agents have traditionally focused on…
In response to their call for papers last summer, MIT President Sally Kornbluth and Provost Cynthia Barnhart received an overwhelming interest from the research community. The call for proposals was made to "articulate effective roadmaps, policy recommendations, and calls for action across the broad domain of generative AI." The response far exceeded expectations, with 75…
Google is testing a new carousel rich result feature which could transform the way local businesses, products, and events are represented in search results. Web optimization company WordLift had the opportunity to test this feature for a client in the travel industry, SalzburgerLand Tourismus, revealing its potential in brand visibility. Insights suggested a potential decrease…
In a recent research study conducted by psychologists from the University of Southern California, AI language model ChatGPT demonstrated unanticipated comedic abilities. Unlike other AI tasks such as writing code or coherent content, humor is a difficult aspect to quantify due to its subjectivity. The researchers ran two experiments to assess the AI model's capacity…
Dylan Field, CEO of Figma – a collaborative web design application, has temporarily suspended the app's newly-introduced artificial intelligence (AI) features after claims the tool reproduces designs closely resembling Apple's Weather app. The allegations have prompted concerns about potential legal issues for users if Figma's training data contains copyrighted content.
Figma recently showcased these new…
The rise of generative AI technologies (GenAI) brings a critical decision for businesses - to buy an off-the-shelf solution or develop a custom one. This decision is influenced by several factors that impact the return on investment and overall effectiveness of the solution.
First, the specific use case must be clearly defined. Should the goal…
Function-calling agent models are a critical advancement in large language models (LLMs). They interpret natural language instructions to execute API calls, facilitating real-time interactions with digital services, like retrieving market data or managing social media interactions. However, these models often face challenges as they require high-quality, diverse and verifiable datasets. Unfortunately, many existing datasets lack…
Udacity, the online educational platform, offers a vast array of courses in Artificial Intelligence (AI), including technology and applications, catered towards both beginners and advanced learners. These in-depth courses teach foundational topics in AI like machine learning algorithms, deep learning architectures, natural language processing, computer vision, reinforcement learning, and even AI ethics. The learning extends…
Language modeling in the area of artificial intelligence is geared towards creating systems capable of understanding, interpreting, and generating human language. With its myriad applications, including machine translation, text summarization, and creation of conversational agents, the goal is to develop models that mimic human language abilities, thereby fostering seamless interaction between humans and machines. This…
ChatGPT and similar AI-powered tools are now vital in the modern business environment. They offer a multitude of benefits, allowing businesses to gain a competitive edge, boost productivity, and enhance their profit margins. In this article, 10 key use cases for ChatGPT that professionals, CxOs, and business owners can adopt extensively have been identified.
ChatGPT's application…
Large language models (LLMs) are becoming progressively more powerful, with recent models exhibiting GPT-4 level performance. Nevertheless, using these models for applications requiring extensive context, such as understanding long-duration videos or coding at repository-scale, presents significant hurdles. Typically, these tasks require input contexts ranging from 100K to 10M tokens — a great leap from the…
Qdrant, a pioneer in vector search technology, has unveiled BM42, a powerful new algorithm, aimed at transforming hybrid search. BM25, the algorithm relied upon by search engines like Google and Yahoo, has dominated for over 40 years. Yet, the rise of vector search and the launch of Retrieval-Augmented Generation (RAG) technologies have revealed the need…