Byte Latent Transformer: Scaling Language Models with Patches | #ai #2024 #genai
AI Today27 Dec 2024

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 dynamically groups bytes into patches based on predicted entropy, allocating more computational resources to complex sections of text. This approach achieves performance comparable to tokenization-based models while significantly improving inference efficiency and robustness to noisy input. The authors present a scaling study demonstrating BLT's superior scaling properties and its enhanced performance on various downstream tasks, particularly those requiring sub-word understanding. Finally, the study explores methods to leverage pre-trained models to improve BLT training. ai , artificial intelligence , arxiv , research , paper , publication , llm, genai, generative ai , large visual models, large language models, large multi modal models, nlp, text, machine learning, ml, nividia, openai, anthropic, microsoft, google, technology, cutting-edge, meta, llama, chatgpt, gpt, elon musk, sam altman, deployment, engineering, scholar, science, apple, samsung, anthropic, turing

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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

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

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 m...

30 Jan 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

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

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 Dec 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 Dec 202433min

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

This research paper introduces CosyVoice 2, an improved streaming speech synthesis model. Building upon its predecessor, CosyVoice 2 utilizes advancements in large language models (LLMs) and incorpora...

27 Dec 202420min

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