MarkTechPost

LLMDet: How Large Language Models Enhance Open-Vocabula...

Open-vocabulary object detection (OVD) aims to detect arbitrary objects with use...

Shanghai AI Lab Releases OREAL-7B and OREAL-32B: Advanc...

Mathematical reasoning remains a difficult area for artificial intelligence (AI)...

This AI Paper Explores Long Chain-of-Thought Reasoning:...

Large language models (LLMs) have demonstrated proficiency in solving complex pr...

Advancing Scalable Text-to-Speech Synthesis: Llasa’s Tr...

Recent advancements in LLMs, such as the GPT series and emerging “o1” models, hi...

Meta AI Introduces ParetoQ: A Unified Machine Learning ...

As deep learning models continue to grow, the quantization of machine learning m...

ChunkKV: Optimizing KV Cache Compression for Efficient ...

Efficient long-context inference with LLMs requires managing substantial GPU mem...

This AI Paper Introduces MAETok: A Masked Autoencoder-B...

Diffusion models generate images by progressively refining noise into structured...

Kyutai Releases Hibiki: A 2.7B Real-Time Speech-to-Spee...

Real-time speech translation presents a complex challenge, requiring seamless in...

Microsoft AI Researchers Release LLaVA-Rad: A Lightweig...

Large foundation models have demonstrated remarkable potential in biomedical app...

BARE: A Synthetic Data Generation AI Method that Combin...

As the need for high-quality training data grows, synthetic data generation has ...

Meta AI Introduces Brain2Qwerty: A New Deep Learning Mo...

Brain-computer interfaces (BCIs) have seen significant progress in recent years,...

This AI Paper Introduces MaAS (Multi-agent Architecture...

Large language models (LLMs) are the foundation for multi-agent systems, allowin...

Adaptive Inference Budget Management in Large Language ...

Large Language Models (LLMs) have demonstrated remarkable capabilities in comple...

Tutorial to Fine-Tuning Mistral 7B with QLoRA Using Axo...

In this tutorial, we demonstrate the workflow for fine-tuning Mistral 7B using Q...

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