InternLM has introduced its newest development in open large language models, InternLM2.5-7B-Chat, which is available in GGUF format. This latest model is compatible with the open-source framework, llama.cpp which is used for LLM inference and can be utilized both locally and in the cloud on different hardware platforms. The GGUF format provides half-precision and low-bit…
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,…
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…
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…
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…
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…
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…
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…
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…
Large language models (LLMs) can greatly benefit from better integration of up-to-date information and reducing biases, which are often found in Retrieval-Augmented Generation (RAG) techniques. However, these models face challenges due to their complexity and longer response times. Therefore, optimizing the performance of RAG is key to their effectiveness in real-time applications where accuracy and…
Natural language processing (NLP), a field within artificial intelligence (AI), aims at aiding machines to decipher and establish human language. It includes tasks such as translation, sentiment analysis, and text summarization. The progress in this field has led to the creation of 'Large Language Models’ (LLMs), capable of handling massive quantities of text. This progress…
Natural language processing (NLP), a subfield of Artificial Intelligence (AI), is designed to allow machines to understand and mirror human language. It oversees a variety of tasks like language translation, sentiment analysis, and text summarization. The advent of large language models (LLMs), capable of processing great amounts of data, has significantly advanced these tasks, opening…