Administration, Aeronautical and astronautical engineering, Alumni/ae, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Electrical Engineering & Computer Science (eecs), Faculty, Leadership, MIT Schwarzman College of Computing, Robotics, School of Engineering, UncategorizedJuly 26, 202430Views0Likes0Comments
Artificial Intelligence (AI) has become a game changer in the real estate sector, notably aiding in marketing strategies where traditional methods have fallen short. The implementation of AI has transformed how real estate professionals are able to target potential buyers, with tailored content and thus, speed up processes.
One of the key advantages of AI in…
From the search for a new recipe, a restaurant, a fashionable outfit, or an understanding of a particular topic, humans are innately curious creatures, always in pursuit of something. This constant quest for knowledge or new experiences is not only limited to physical search, but has significantly permeated different aspects of online platforms, since the…
The field of large language models (LLMs) is developing at a rapid pace due to the need to process extensive text inputs and deliver accurate, efficient responses. Open-access LLMs and proprietary models like GPT-4-Turbo must handle substantial amounts of information that often exceed a single prompt’s limitations. This is key for tasks like document summarisation,…
As AI systems continue to advance, researchers and policymakers are concerned about ensuring their safe and ethical use. The main issues center around the potential risks posed by ever-evolving and increasingly powerful AI systems. These risks involve potential misuse, ethical issues, and unexpected consequences stemming from AI's expanding abilities. Several strategies are being explored by…
Automated Machine Learning (AutoML) has become crucial for data-driven decision-making, enabling experts to utilize machine learning without needing extensive statistical knowledge. However, a key challenge faced by current AutoML systems is the efficient and correct handling of multimodal data, which can consume significant resources.
Addressing this issue, scientists from the Eindhoven University of Technology have put…
The existing Artificial Intelligence (AI) task management methods, including AutoGPT, BabyAGI, and LangChain, often rely on free-text outputs, which can be lengthy and inefficient. These frameworks commonly struggle with keeping context and managing the extensive action space linked with arbitrary tasks. This report focuses on the inefficiencies of these current agentic frameworks, particularly in handling…