Deepseek Janus-Pro: Unified Multimodal Understanding and Generation | #ai #2025 #genai #deepseek
AI Today30 Jan 2025

Deepseek Janus-Pro: Unified Multimodal Understanding and Generation | #ai #2025 #genai #deepseek

Paper: https://github.com/deepseek-ai/Janus/blob/main/janus_pro_tech_report.pdf Github: https://github.com/deepseek-ai/Janus/tree/main?tab=readme-ov-file The paper introduces Janus-Pro, an improved multimodal model building upon its predecessor, Janus. Janus-Pro boasts enhanced performance in both multimodal understanding and text-to-image generation due to optimized training strategies, expanded datasets (including synthetic aesthetic data), and a larger model size (1B and 7B parameter versions). The architecture uses decoupled visual encoding for improved efficiency and performance across various benchmarks. Results show significant gains over previous state-of-the-art models, although limitations remain in resolution and fine detail. The code and models are publicly available. #ai, #artificialintelligence, #arxiv, #research, #paper, #publication, #llm, #genai, #generativeai, #largevisualmodels, #largelanguagemodels, #largemultimodalmodels, #nlp, #text, #machinelearning, #ml, #nvidia, #openai, #anthropic, #microsoft, #google, #technology, #cuttingedge, #meta, #llama, #chatgpt, #gpt, #elonmusk, #samaltman, #deployment, #engineering, #scholar, #science, #apple, #samsung, #turing, #aiethics, #innovation, #futuretech, #deeplearning, #datascience, #computervision, #autonomoussystems, #robotics, #dataprivacy, #cybersecurity, #digitaltransformation, #quantumcomputing, #aiapplications, #aiethics, #techleadership, #technews, #aiinsights, #aiindustry, #aiadvancements, #futureai, #airesearchers

Episoder(30)

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model | #ai #2025 #genai #google

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model | #ai #2025 #genai #google

Paper: https://arxiv.org/pdf/2501.17161 This research paper compares supervised fine-tuning (SFT) and reinforcement learning (RL) for post-training foundation models. Using novel and existing tasks i...

7 Feb 202516min

Memory Layers at Scale | #ai #2024 #genai #meta

Memory Layers at Scale | #ai #2024 #genai #meta

Paper: https://arxiv.org/pdf/2412.09764 This research paper explores the effectiveness of memory layers in significantly enhancing large language models (LLMs). By incorporating a trainable key-value...

11 Jan 202514min

Large Concept Models: Language Modeling in a Sentence Representation Space | #ai #2024 #genai

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Paper: https://scontent-dfw5-1.xx.fbcdn.net/... This research paper introduces Large Concept Models (LCMs), a novel approach to language modeling that operates on sentence embeddings instead of indi...

6 Jan 202529min

DeepSeek v3 | #ai #2024 #genai

DeepSeek v3 | #ai #2024 #genai

Technical Report: https://arxiv.org/pdf/2412.19437 Github: https://github.com/deepseek-ai/DeepSe... This research paper introduces DeepSeek-V3, a 671-billion parameter Mixture-of-Experts (MoE) large ...

31 Des 202428min

VISION TRANSFORMERS NEED REGISTERS | #ai #2024 #genai #meta

VISION TRANSFORMERS NEED REGISTERS | #ai #2024 #genai #meta

Paper: https://arxiv.org/pdf/2309.16588 This research paper examines artifacts in vision transformer feature maps, specifically high-norm tokens appearing in non-informative image areas. The authors ...

30 Des 202433min

Byte Latent Transformer: Scaling Language Models with Patches | #ai #2024 #genai

Byte Latent Transformer: Scaling Language Models with Patches | #ai #2024 #genai

Paper: https://arxiv.org/pdf/2412.09871v1.pdf The paper introduces the Byte Latent Transformer (BLT), a novel large language model architecture that processes raw byte data without tokenization. BLT ...

27 Des 202421min

CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models | #ai #2024 #genai

CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models | #ai #2024 #genai

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27 Des 202420min

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