Qwen2-VL is released: the latest version of Qwen2-based vision language models in the Qwen model families
Alibaba researchers have announced the release of Qwen2-VL, the latest version of the Qwen2-based vision language models within the Qwen ...
Tag: language
NVIDIA Releases NVEagle: An Impressive Vision Language Model Coming in 7B, 13B, and 13B Optimized for Chat
Join the fastest growing ai research newsletter read by researchers from Google + NVIDIA + Meta + Stanford + MIT ...
Neural Magic releases GuideLLM: a powerful tool to evaluate and optimize the implementation of large language models (LLM)
Join the fastest growing ai research newsletter read by researchers from Google + NVIDIA + Meta + Stanford + MIT ...
Microsoft researchers combine small and large language models for faster, more accurate hallucination detection
Large language models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks. However, they face a major challenge: ...
Top open source large language model (LLM) evaluation repositories
Ensuring the quality and stability of large language models (LLMs) is crucial in the ever-changing LLM landscape. As the use ...
Tackle Complex LLM Decision-Making with Language Agent Tree Search (LATS) & GPT-4o | by Ozgur Guler | Aug, 2024
Enhancing LLM decision-making: integrating language agent tree search with GPT-4o for superior problem-solvingImage by the author: midjourney — abstract puzzleLarge ...
SarcasmBench: A comprehensive evaluation framework that reveals the challenges and performance gaps of large language models for understanding subtle sarcastic expressions
Detecting sarcasm is a critical challenge in natural language processing (NLP) due to the nuanced and often contradictory nature of ...
Vectorlite v0.2.0 released: fast, in-process SQL-based vector lookup for any language with a SQLite driver
Many modern applications, such as recommender systems, image and video search, and natural language processing, rely on vector representations to ...
MaVEn: An efficient hybrid multi-granular visual coding framework for large multimodal language models (MLLM)
The primary focus of existing multimodal large language models (MLLMs) is on the interpretation of single images, which restricts their ...
Benchmarking large language models in biomedical classification and named entity recognition: Assessing the impact of stimulus techniques and domain knowledge
LLM models are increasingly used in healthcare for tasks such as question answering and document summarization, with performance similar to ...
Recommended.
