Large Language Model

FlashAttention-3, the latest release in the FlashAttention series, has been designed to address the inherent bottlenecks of the attention layer in Transformer architectures. These bottlenecks are crucial for the performance of large language models (LLMs) and...
One of the emerging challenges in artificial intelligence is whether next-token prediction can truly model human intelligence, particularly in planning and reasoning. Despite its extensive application in modern language models, this method might be inherently limited...

Anole: An Open, Autoregressive, Native Large Multimodal Model for Interleaved Image-Text Generation

Existing open-source large multimodal models (LMMs) face several significant limitations. They often lack native integration and require adapters to align visual representations with pre-trained...

Internet of Agents (IoA): A Novel Artificial Intelligence AI Framework for Agent Communication and Collaboration Inspired by the Internet

The rapid advancement of LLMs has enabled the creation of highly capable autonomous agents. However, multi-agent frameworks need help integrating diverse third-party agents due...

Generalizable Reward Model (GRM): An Efficient AI Approach to Improve the Generalizability and Robustness of Reward Learning for LLMs

Pretrained large models have shown impressive abilities in many different fields. Recent research focuses on ensuring these models align with human values and avoid...

Microsoft Research Introduces AgentInstruct: A Multi-Agent Workflow Framework for Enhancing Synthetic Data Quality and Diversity in AI Model Training

Large language models (LLMs) have been instrumental in various applications, such as chatbots, content creation, and data analysis, due to their capability to process...

FunAudioLLM: A Multi-Model Framework for Natural, Multilingual, and Emotionally Expressive Voice Interactions

Voice interaction technology has significantly evolved with the advancements in artificial intelligence (AI). The field focuses on enhancing natural communication between humans and machines,...

Review-LLM: A Comprehensive AI Framework for Personalized Review Generation Using Large Language Models and User Historical Data in Recommender Systems

Personalized review generation within recommender systems is an area of increasing interest, particularly in creating custom reviews based on users' historical interactions and preferences....

Researchers from Stanford and the University at Buffalo Introduce Innovative AI Methods to Enhance Recall Quality in Recurrent Language Models with JRT-Prompt and JRT-RNN

Language modeling has significantly progressed in developing algorithms to understand, generate, and manipulate human language. These advancements have led to large language models that...

Agentless: An Agentless AI Approach to Automatically Solve Software Development Problems

Software engineering is a dynamic field focused on the systematic design, development, testing, and maintenance of software systems. This encompasses tasks like code synthesis,...

NuminaMath 7B TIR Released: Transforming Mathematical Problem-Solving with Advanced Tool-Integrated Reasoning and Python REPL for Competition-Level Accuracy

Numina has announced the release of its latest model, NuminaMath 7B TIR. This advanced language model is designed specifically for solving mathematical problems. The...

SenseTime Unveiled SenseNova 5.5: Setting a New Benchmark to Rival GPT-4o in 5 Out of 8 Key Metrics

SenseTime, a leading AI company from China, has unveiled its latest advancement, the SenseNova 5.5, at the 2024 World Artificial Intelligence Conference & High-Level...

TheoremLlama: An End-To-End Framework to Train a General-Purpose Large Language Model to Become a Lean4 Expert

A major step forward in mathematical reasoning is the use of computer-verifiable formal languages such as Lean to prove mathematical theorems. These formal languages...

NVIDIA Introduces RankRAG: A Novel RAG Framework that Instruction-Tunes a Single LLM for the Dual Purposes of Top-k Context Ranking and Answer Generation in...

Retrieval-augmented generation (RAG) has emerged as a crucial technique for enhancing large language models (LLMs) to handle specialized knowledge, provide current information, and adapt...

NuminaMath 7B TIR Released: Transforming Mathematical Problem-Solving with Advanced Tool-Integrated Reasoning and Python REPL...

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Numina has announced the release of its latest model, NuminaMath 7B TIR. This advanced language model is designed specifically for solving mathematical problems. The...

Tsinghua University Open Sources CodeGeeX4-ALL-9B: A Groundbreaking Multilingual Code Generation Model Outperforming Major Competitors...

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In a significant leap forward for the field of code generation, the Knowledge Engineering Group (KEG) and Data Mining team at Tsinghua University have...

InternLM2.5-7B-Chat: Open Sourcing Large Language Models with Unmatched Reasoning, Long-Context Handling, and Enhanced Tool...

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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...

Jina AI Releases Jina Reranker v2: A Multilingual Model for RAG and Retrieval with...

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Jina AI has released the Jina Reranker v2 (jina-reranker-v2-base-multilingual), an advanced transformer-based model fine-tuned for text reranking tasks. This model is designed to significantly...

Google Releases Gemma 2 Series Models: Advanced LLM Models in 9B and 27B Sizes...

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Google has unveiled two new models in its Gemma 2 series: the 27B and 9B. These models showcase significant advancements in AI language processing,...

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