OpenAI and journalism

The rapid advancements in the field of Artificial Intelligence (AI) have led to the introduction of Large Language Models (LLMs). These highly capable models can generate human-like text and can perform tasks including question answering, text summarization, language translation, and code completion.  AI systems, particularly LLMs, can behave dishonestly strategically, much like how people can…

Language Agents represent a transformative advancement in computational linguistics. They leverage large language models (LLMs) to interact with and process information from the external world. Through innovative use of tools and APIs, these agents autonomously acquire and integrate new knowledge, demonstrating significant progress in complex reasoning tasks. A critical challenge in Language Agents is managing…

3D-aware Generative Adversarial Networks (GANs) have made remarkable advancements in generating multi-view-consistent images and 3D geometries from collections of 2D images through neural volume rendering. However, despite these advancements, a significant challenge has emerged due to the substantial memory and computational costs associated with dense sampling in volume rendering. This limitation has compelled 3D GANs…

In technical group chats, particularly those linked to open-source projects, the challenge of managing the flood of messages and ensuring relevant, high-quality responses is ever-present. Open-source project communities on instant messaging platforms often grapple with the influx of relevant and irrelevant messages. Traditional approaches, including basic automated responses and manual interventions, must be revised to…

There is a need to build systems that can respond to user inputs, remember past interactions, and make decisions based on that history. This requirement is crucial for creating applications that behave more like intelligent agents, capable of maintaining a conversation, remembering past context, and making informed decisions. Currently, some solutions address parts of this…

With the advancement of AI in recent times, large language models are being used in many fields. These models are trained on larger datasets and require bigger training datasets. These are used in various natural language processing (NLP) tasks, such as dialogue systems, machine translation, information retrieval, etc. There has been thorough research in LLMs…