Skip to content Skip to sidebar Skip to footer

AI Shorts

InternLM2.5-7B-Chat: Bringing into Open Source the Large Language Models that excel in Logical Reasoning, Dealing with Extended Contexts, and Advanced Tool Utilization

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…

Read More

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,…

Read More

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…

Read More

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…

Read More

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…

Read More

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…

Read More

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…

Read More

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…

Read More

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…

Read More

Improving Language Models using RAG: Guidelines and Performance Measures

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…

Read More

Salesforce AI Research has launched SummHay, a solid AI benchmark for assessing long-context summarization within Language model systems and Retriever Augmented Generation systems.

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…

Read More

The AI Research division of Salesforce launches SummHay: A sturdy AI benchmark for assessing the summarization of extensive contexts in Language Model Systems and Retrieval-Augmented Generation Systems.

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…

Read More