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: models
New models, research advances and regulatory debates
Introduction This week, the ai field saw significant updates as major companies introduced new models and tools. AI21 Labs released ...
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: ...
OpenAI and Anthropic agree to share their models with the US AI Safety Institute
OpenAI and Anthropic have ai-safety-institute-signs-agreements-regarding-ai-safety-research" rel="nofollow noopener" target="_blank" data-ylk="slk:agreed;elm:context_link;elmt:doNotAffiliate;cpos:1;pos:1;itc:0;sec:content-canvas">agreed share ai models (before and after they are released) with the ...
iAsk Ai outperforms ChatGPT and all other AI models in MMLU Pro test
iAsk ai has quickly become a leader in ai search. iAsk ai's search engine is powered by ai/?mode=pro">iAsk Proits latest ...
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 ...
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 ...
Are you making these mistakes when modeling classification?
Introduction Evaluating a machine learning model isn’t just the final step, it’s the cornerstone of success. Imagine creating a state-of-the-art ...
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