Ngo Quang Huy's picture

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Ngo Quang Huy

ngoquanghuy

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ngoquanghuy99

AI & ML interests

NLP, deep learning, LLMs

Recent Activity

new activity 13 days ago

unsloth/DeepSeek-R1-GGUF:any benchmark results?

new activity 13 days ago

unsloth/DeepSeek-V3-GGUF:1.58 bit version for DeepSeek V3

reacted to Kseniase's post with 🔥 28 days ago

8 New Types of RAG RAG techniques continuously evolve to enhance LLM response accuracy by retrieving relevant external data during generation. To keep up with current AI trends, new RAG types incorporate deep step-by-step reasoning, tree search, citations, multimodality and other effective techniques. Here's a list of 8 latest RAG advancements: 1. DeepRAG -> https://huggingface.co./papers/2502.01142 Models retrieval-augmented reasoning as a Markov Decision Process, enabling strategic retrieval. It dynamically decides when to retrieve external knowledge and when rely on parametric reasoning. 2. RealRAG -> https://huggingface.co./papers/2502.00848 Enhances novel object generation by retrieving real-world images and using self-reflective contrastive learning to fill knowledge gap, improve realism and reduce distortions. 3. Chain-of-Retrieval Augmented Generation (CoRAG) -> https://huggingface.co./papers/2501.14342 Retrieves information step-by-step and adjusts it, also deciding how much compute power to use at test time. If needed it reformulates queries. 4. VideoRAG -> https://huggingface.co./papers/2501.05874 Enables unlimited-length video processing, using dual-channel architecture that integrates graph-based textual grounding and multi-modal context encoding. 5. CFT-RAG -> https://huggingface.co./papers/2501.15098 A tree-RAG acceleration method uses an improved Cuckoo Filter to optimize entity localization, enabling faster retrieval. 6. Contextualized Graph RAG (CG-RAG) -> https://huggingface.co./papers/2501.15067 Uses Lexical-Semantic Graph Retrieval (LeSeGR) to integrate sparse and dense signals within graph structure and capture citation relationships 7. GFM-RAG -> https://huggingface.co./papers/2502.01113 A graph foundation model that uses a graph neural network to refine query-knowledge connections 8. URAG -> https://huggingface.co./papers/2501.16276 A hybrid system combining rule-based and RAG methods to improve lightweight LLMs for educational chatbots

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New activity in unsloth/DeepSeek-R1-GGUF 13 days ago

any benchmark results?

#22 opened about 1 month ago by

New activity in unsloth/DeepSeek-V3-GGUF 13 days ago

1.58 bit version for DeepSeek V3

#18 opened 13 days ago by

New activity in unsloth/DeepSeek-R1-GGUF about 1 month ago

Llama.cpp server chat template

#4 opened about 1 month ago by