Imagine being able to feed a research paper, a technical specification, or even a rough product description into a system—and…
aiXcoder-7B: High-Accuracy Code Completion in a Lightweight 7B Model for Real-Time Developer Workflows 2274
aiXcoder-7B is a 7-billion-parameter open-source large language model (LLM) purpose-built for code processing. Unlike larger models that trade inference speed…
Mini-Omni: Real-Time, End-to-End Speech AI Without ASR or TTS Latency 3492
In today’s landscape of conversational AI, most voice-enabled systems rely on a pipeline of separate components: automatic speech recognition (ASR)…
Puppeteer: Dynamic Multi-Agent Orchestration for Efficient, Adaptive LLM Collaboration 27888
Managing complex tasks with large language models (LLMs) often hits a ceiling: while single models excel at narrow tasks, scaling…
Elixir: Train Large Language Models Efficiently on Small GPU Clusters Without Expert-Level Tuning 41294
Training large language models (LLMs) has traditionally been the domain of well-resourced AI labs with access to massive GPU clusters…
UniLM: One Model for Both Understanding and Generating Natural Language 21874
In the evolving landscape of natural language processing (NLP), teams often find themselves juggling separate models—one for understanding tasks like…
Megatron-LM: Train Billion-Parameter Transformer Models Efficiently on NVIDIA GPUs at Scale 14515
If you’re building or scaling large language models (LLMs) and have access to NVIDIA GPU clusters, Megatron-LM—developed by NVIDIA—is one…
MiDaS: Robust Monocular Depth Estimation from a Single Image—No Special Hardware Required 5267
In today’s world of intelligent systems—from autonomous robots to immersive AR experiences—depth perception is essential. Yet most cameras only capture…
MedSAM: Accurate, Prompt-Based Medical Image Segmentation Out of the Box 3980
Medical image segmentation—the process of delineating anatomical structures or pathologies in scans like CT, MRI, or ultrasound—is foundational to diagnosis,…
3D-Speaker: High-Accuracy Speaker Verification and Diarization Made Accessible for Real-World Applications 2648
In the landscape of spoken language processing, accurately identifying who is speaking—across recordings, meetings, or voice-based interfaces—remains a critical yet…