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Advancements in Artificial Intelligence have paved the way for large language models (LLMs) like GPT-4 and Llama 2, which have shown exceptional performance across various sectors including agriculture, healthcare, and finance through their ability to assist in complex decision-making and data analysis tasks. However, there is ample room for improvement, specifically in the agricultural sector,…

Model-based reinforcement learning (MBRL) faces critical challenges, especially when dealing with imperfect dynamics models in complex environments. The inability to accurately predict models often results in suboptimal policy learning. The key is not only accurate predictions but also model adaptability in varied scenarios, which has necessitated innovation in MBRL methodologies. MBRL research has seen the advent…

AI image generation has recently turned its focus to text-to-image diffusion models due to their ability to produce photorealistic images from textual descriptions. The technology utilizes complex algorithms to interpret text and create visual content, replicating elements of human creativity. The potential applications span domains such as graphic design and virtual reality. A significant challenge lies…

In advanced language models like the Retriever-Answer Generator (RAG), understanding the comprehension and organization of information is vital. However, visualizing the complex relationships between different parts of a document can be a challenge. Existing tools often fail to provide a clear depiction of how information chunks correlate to each other and specific queries. Many attempts…

Recent advances in language models (LMs) and tools have paved the way for semi-autonomous agents such as WebGPT, AutoGPT, and ChatGPT plugins that operate in real-world settings. However, transitioning from text interactions to real-world actions poses unique risks, including potential financial losses, property damage, or even life-threatening situations. It is of utmost importance to identify…

The Theory of Mind (ToM), the ability to comprehend the thoughts and intentions of others, is important for the development of machines with human-like social intelligence. The recent advancements in machine learning, particularly in large language models, have shown some capability in ToM understanding. However, existing benchmarks for ToM mostly depend on video or text…

The management and potential exposure of sensitive data is a primary concern in the development of Large Language Models (LLMs). As these models, such as GPT, accumulate more data, including personal information and harmful content, the necessity for data security and model reliability increases. Current research is focused on designing strategies that can effectively erase…

OpenAI, previously known for its transparency, is now seen to be distancing from its original tenets. WHen asked by WIRED for access to certain documents in the past, OpenAI said they were openly available for public scrutiny. But, this seems no longer to be the case. Experts see this as a significant shift from their…

Introduction The latest advancement in language models, GPT-4, has introduced a new era in content and image generation. This comprehensive guide will discuss the varied capabilities of GPT-4 and how you can harness its potentials for free to boost creativity and productivity. Detail-Oriented Answers GPT-4, partnered with Bing, provides detailed responses to complex inquiries. The model processes questions…

Hyuk Kim of the James Martin Center for Nonproliferation Studies recently authored an analysis highlighting North Korea's increased focus on artificial intelligence (AI) and machine learning (ML). The study investigated both civil and military uses, shedding light on the country's technology strategies. North Korea was seen as an AI pioneer in the 1990s, with its…