JPEG-LM LLMs as Image Generators with Canonical Codec Representations discuss: https://
huggingface.co/papers/2408.08
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… Recent work in image and video generation has been adopting the autoregressive LLM architecture due to its generality and potentially easy integration into multi-modal
GENERATIVE AI
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JPEG-LM: Using LLMs as Image Generators with Canonical Codecs
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Luma Labs introduces new v1.5 model with crowdsourced evaluation
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As many of you probably have heard, @LumaLabsAI is experimenting with its new v1.5 model which is available to selected creators.
— 🚨 AI News | TestingCatalog (@testingcatalog) 18 août 2024
For model evaluation purposes, creators can access a new tab called Rate to help evaluate output results.
Lmsys arena but for videogen 👀 https://t.co/8zyKxjGoy1 pic.twitter.com/ba96imlnILAs many of you probably have heard, @LumaLabsAI is experimenting with its new v1.5 model which is available to selected creators. For model evaluation purposes, creators can access a new tab called Rate to help evaluate output results. Lmsys arena but for videogen
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Runway Developing New Video Extension Feature
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BREAKING: Runway is working on an option to "Extend" videos, and it seems that it will be possible to generate 20-second movies. or is it 10+20 seconds? The feature is still in development and might not yet be ready. But there are more
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Trump Embraces Hypersaturated AI-Generated Images Strategy
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Trump (or his social media handlers) are really all in on the hypersaturated, overstylized gen AI images right now
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Context sharpens AI prompts with specifics, expectations, audience
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Context sharpens AI prompts. Essentials for precision and relevance. • Include specific details
• Set clear expectations
• Tailor for audience needs Read more: https://
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MedGraphRAG: Graph-Based Framework Enhancing LLMs Medical Domain
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9/ MedGraphRAG – a graph-based framework for the medical domain with a focus on enhancing LLMs and generating evidence-based results; leverages a hybrid static-semantic approach to chunk documents to improve context capture; entities and medical knowledge are represented through
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rStar Enhances Small Language Models Reasoning Without Fine-tuning
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7/ rStar – introduces self-play mutual reasoning to improve the reasoning capabilities of small language models without fine-tuning or superior models; MCTS is augmented with human-like reasoning actions, obtained from SLMs, to build richer reasoning trajectories…
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HybridRAG Combines GraphRAG VectorRAG for Superior Performance
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6/ HybirdRAG – combines GraphRAG and VectorRAG leading to a HybridRAG system that outperforms both individually; it was tested on a set of financial earning call transcripts. Combining the advantages of both approaches provides more accurate answers to queries.
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LongWriter AgentWrite Enables LLMs Generate Beyond 20K Words
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3/ LongWriter – proposes AgentWrite to enable off-the-shelf LLMs to generate coherent outputs beyond 20K words; AgentWrite breaks down the long generation task into subtasks and in a divide-and-conquer approach generates…
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EfficientRAG: Auto-Encoder LM for Intelligent Chunk Retrieval
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4/ EfficientRAG – trains an auto-encoder LM to label and tag chunks; it retrieves relevant chunks, tags them as either or , and annotates chunks for continuous processing; then a filter model is trained to formulate the next-hop query based on the