NVIDIA has unveiled the Nemotron Nano 2 family, introducing a line of hybrid Mamba-Transformer large language models …
Tag:
models
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TECH
Can LLM Reward Models Be Trusted? Master-RM Exposes and Fixes Their Weaknesses
by Techaiappby Techaiapp 3 minutes readGenerative reward models, where large language models (LLMs) serve as evaluators, are gaining prominence in reinforcement learning …
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TECH
Fuel your creativity with new generative media models and tools
by Techaiappby Techaiapp 1 minutes readToday, we’re announcing our newest generative media models, which mark significant breakthroughs. These models create breathtaking images, …
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TECH
This AI Paper Introduces WINGS: A Dual-Learner Architecture to Prevent Text-Only Forgetting in Multimodal Large Language Models
by Techaiappby Techaiapp 4 minutes readMultimodal LLMs: Expanding Capabilities Across Text and Vision Expanding large language models (LLMs) to handle multiple modalities, …
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Today we are excited to share updates across the board to our Gemini 2.5 model family: Gemini …
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TECH
OpenBMB Releases MiniCPM4: Ultra-Efficient Language Models for Edge Devices with Sparse Attention and Fast Inference
by Techaiappby Techaiapp 5 minutes readThe Need for Efficient On-Device Language Models Large language models have become integral to AI systems, enabling …
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Artificial intelligence systems like ChatGPT provide plausible-sounding answers to any question you might ask. But they don’t …
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Have you ever wondered why video AI models matter for Agencies? Making great videos once felt like …
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TECH
Fuel your creativity with new generative media models and tools
by Techaiappby Techaiapp 1 minutes readToday, we’re announcing our newest generative media models, which mark significant breakthroughs. These models create breathtaking images, …
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TECH
Repurposing Protein Folding Models for Generation with Latent Diffusion – The Berkeley Artificial Intelligence Research Blog
by Techaiappby Techaiapp 1 minutes readPLAID is a multimodal generative model that simultaneously generates protein 1D sequence and 3D structure, by learning …
