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Improving Efficiency and Performance in Multi-Task Reinforcement Learning through Policy Learning with Extensive World Models

Researchers from the Georgia Institute of Technology and the University of California, San Diego, have introduced an innovative model-based reinforcement learning algorithm called Policy learning with Large World Models (PWM). Traditional reinforcement learning methods have faced difficulties with multitasking, especially across different robotic forms. PWM tackles these issues by pretraining world models on offline data,…

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MIT scholars researching generative AI’s implications and uses received the second round of seed fund allocations.

MIT President Sally Kornbluth and Provost Cynthia Barnhart last year issued a call for papers with the aim of developing effective strategies, policy recommendations, and calls to action in the field of generative artificial intelligence (AI). The response was overwhelming, with a total of 75 proposals submitted. Out of these, 27 were selected for seed…

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This Artificial Intelligence research document, collaborated on by Meta AI and New York University, presents LIFT, a method for Length-Instruction Fine-Tuning aimed at improving control and quality for instruction-based Language Model Learning.

Artificial Intelligence (AI) has revolutionized numerous industries, from customer service to content generation, by deploying large language models (LLMs) that can supply accurate and useful replies to human prompts. However, these models tend to favor longer responses, exhibiting an inherent length bias that complicates model evaluation. To balance response length with quality, researchers have developed Length-Instruction…

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An In-Depth Manual on Optimizing ChatGPT for Your Enterprise

Businesses worldwide are capitalizing on the transformative capabilities of Artificial Intelligence (AI) to improve their processes. A standout AI-powered tool is OpenAI's ChatGPT, a language model that can generate texts mimicking human conversation. While beneficial, out-of-the-box applications of ChatGPT sometimes fail to fully meet a business's specific requirements. To maximize its potential, businesses must perform…

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Meta 3D Gen: An advanced Text-to-3D Asset Generation Process offering Fast, Accurate, and High-Quality results for Immersive Applications.

Text-to-3D generation technology is becoming increasingly influential across various fields such as video games, augmented reality, and virtual reality. The process creates detailed 3D content from text descriptions, which was traditionally a laborious and expensive task requiring a significant amount of effort from skilled artists. By automating this process with AI technology, it becomes a…

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Investigating the Impact of AI-Driven Recommendation Systems on Human Actions: Techniques, Results, and Prospects for Future Studies

AI-based recommender systems, which suggest products or content to users, are prevalent across various online platforms like social media and e-commerce. These systems have a significant influence on user behavior, according to a research survey from the Institute of Information Science and Technologies at the National Research Council, the Scuola Normale Superiore of Pisa, and…

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MInference (Milliontokens Inference): An Innovative, Training-Free Technique for the Advanced Application Stage of Large-Scale Language Models Utilizing Dynamic Sparse Attention Mechanisms

Large Language Models (LLMs) have significantly impacted industries from translation to sentiment analysis. However, their practical use is hampered by computational demands, particularly with long prompts due to the quadratic complexity of the attention mechanism. Addressing this issue, researchers from Microsoft Corporation and the University of Surrey have developed MInference, a method to accelerate long-sequence…

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Enhancing Language Models and Search Engines: A closer look at Search4LLM and LLM4Search

The exponential growth of the internet has increased the importance of search engines in navigating online data. However, as users demand accurate, relevant and timely responses, traditional search technologies face various challenges. To counter these, advancements in natural language processing (NLP) and information retrieval (IR) technologies are being made. Large Language Models (LLMs) that form…

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The Transformation of Customer Service by ChatGPT in 2024

In 2024, customer service has been radically transformed by advanced Artificial Intelligence (AI), specifically OpenAI's ChatGPT, which is revolutionizing how businesses interact with customers. Equipped with NLP (Natural Language Processing) algorithms to comprehend and respond to natural language queries with precision, ChatGPT provides more human-like interactions resulting in more meaningful conversations, which ultimately translating into…

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MIT researchers studying the implications and uses of generative AI receive a second phase of seed funds.

Last summer, MIT President Sally Kornbluth and Provost Cynthia Barnhart issued a call for papers on generative artificial intelligence (AI). They sought effective roadmaps, policy recommendations, and calls for action in the AI field, and received 75 proposals. Out of these, 27 were selected for seed funding. Due to the robust response to this initial funding…

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The Significance of E-Commerce Accounting Systems in the Modern Online Business Environment

Running an online business is complicated, and one of the most challenging aspects is maintaining accurate financial records. The right e-commerce accounting solution can simplify your financials, save you time, and can integrate with your online store to provide real-time insights into your company's finances. Business owners can track and manage cash flow, expenses, and…

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Introducing SpiceAI: A Mobile Runtime that Provides Programmers with a Singular SQL Interface, Speeding Up and Simplifying the Data Fetching Process from Any Database, Data Warehouse or Data Lake.

The world of cloud-hosted applications is one that keeps evolving at a fast pace, and the need for speed and efficiency too is ever-increasing. Applications in this sphere depend on various data sources, including knowledge bases stored in S3, structured data available in SQL databases and embeddings stored in vector stores. Despite the benefits these…

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