- Thu. Nov 28th, 2024
Latest Post
Top Artificial Intelligence AI Search Engines to Know in 2024
With recent technological advancements, search engines have significantly improved. An Artificial Intelligence (AI) search engine improves user experience by comprehending user queries at a deeper level than just matching keywords.…
Policy Learning with Large World Models: Advancing Multi-Task Reinforcement Learning Efficiency and Performance
Reinforcement Learning (RL) excels at tackling individual tasks but struggles with multitasking, especially across different robotic forms. World models, which simulate environments, offer scalable solutions but often rely on inefficient,…
InternLM2.5-7B-Chat: Open Sourcing Large Language Models with Unmatched Reasoning, Long-Context Handling, and Enhanced Tool Use
InternLM has unveiled its latest advancement in open large language models, the InternLM2.5-7B-Chat, available in GGUF format. This model is compatible with llama.cpp, an open-source framework for LLM inference, can…
A Survey of Advanced Retrieval Algorithms in Ad and Content Recommendation Systems: Mechanisms and Challenges
Researchers from the University of Toronto present an insightful examination of the advanced algorithms used in modern ad and content recommendation systems. These systems drive user engagement and revenue generation…
WorldBench: A Dynamic and Flexible LLM Benchmark Composed of Per-Country Data from the World Bank
Large language models (LLMs) have gained significant attention for their impressive performance across various tasks, from summarizing news to writing code and answering trivia questions. Their effectiveness extends to real-world…
Accelerating LLM Inference: Introducing SampleAttention for Efficient Long Context Processing
Large language models (LLMs) now support very long context windows, but the quadratic complexity of standard attention results in significantly prolonged Time-to-First-Token (TTFT) latency. Existing methods to tackle this complexity…
Autonomous Robot Navigation and Efficient Data Collection: Human-Agent Joint Learning and Reinforcement-Based Autonomous Navigation
In recent years, advancements in robotic technology have significantly impacted various fields, including industrial automation, logistics, and service sectors. Autonomous robot navigation and efficient data collection are crucial aspects that…
How ChatGPT is Revolutionizing Customer Service in 2024
In 2024, the landscape of customer service is undergoing a profound transformation, largely driven by the advancements in artificial intelligence (AI). Among these advancements, OpenAI’s ChatGPT has become a pivotal…
Search4LLM and LLM4Search: Improving Language Models and Search Engines
The rise of the Internet has flooded with information, making search engines more important than ever for navigating this vast online world. However, as user queries become more complex and…
MInference (Milliontokens Inference): A Training-Free Efficient Method for the Pre-Filling Stage of Long-Context LLMs Based on Dynamic Sparse Attention
The computational demands of LLMs, particularly with long prompts, hinder their practical use due to the quadratic complexity of the attention mechanism. For instance, processing a one million-token prompt with…