▪️ KAM-CoT
▪️ Multimodal Visualization-of-Thought (MVoT)
▪️ Compositional CoT
▪️ URSA
▪️ MM-Verify
▪️ Duty-Distinct CoT
▪️ Multimodal-CoT
▪️ Graph-of-Thought
▪️ Hypergraph-of-Thought
Save the list, and check this out for more info: huggingface.co/posts/Ksenia...
▪️ KAM-CoT
▪️ Multimodal Visualization-of-Thought (MVoT)
▪️ Compositional CoT
▪️ URSA
▪️ MM-Verify
▪️ Duty-Distinct CoT
▪️ Multimodal-CoT
▪️ Graph-of-Thought
▪️ Hypergraph-of-Thought
Save the list, and check this out for more info: huggingface.co/posts/Ksenia...
Here, I
1. Discuss the advantages & disadvantages of reasoning models
2. Of course, describe and discuss DeepSeek R1
3. Describe the 4 main ways to building & improving reasoning models
Here, I
1. Discuss the advantages & disadvantages of reasoning models
2. Of course, describe and discuss DeepSeek R1
3. Describe the 4 main ways to building & improving reasoning models
🔥 Loading time improvement
🔥 Decreased total ingestion times at high data volumes.
Take a look:
bit.ly/4gylsGL
#Neo4j #graphdatabase
🔥 Loading time improvement
🔥 Decreased total ingestion times at high data volumes.
Take a look:
bit.ly/4gylsGL
#Neo4j #graphdatabase
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Data Formulator is an AI-powered tool for analysts to iteratively create rich visualizations. Data Formulator combines user interface interactions (UI) and natural language (NL) inputs for easier interaction.
github.com/microsoft/da...
Data Formulator is an AI-powered tool for analysts to iteratively create rich visualizations. Data Formulator combines user interface interactions (UI) and natural language (NL) inputs for easier interaction.
github.com/microsoft/da...
Create a production-ready AI chatbot that answers questions from PDFs using DeepSeek's LLM and LangChain's document processing. Features intelligent text processing, advanced reasoning, and an intuitive interface.
www.youtube.com/watch?v=M6vZ...
Create a production-ready AI chatbot that answers questions from PDFs using DeepSeek's LLM and LangChain's document processing. Features intelligent text processing, advanced reasoning, and an intuitive interface.
www.youtube.com/watch?v=M6vZ...
QLoRA fine-tuning with 4-bit with bsz of 4 can be done with 32 GB VRAM and is very fast! ✨
github.com/merveenoyan/...
QLoRA fine-tuning with 4-bit with bsz of 4 can be done with 32 GB VRAM and is very fast! ✨
github.com/merveenoyan/...
Here’s a cheat sheet of 7 of the most popular RAG architectures.
Which variants did we miss?
Here’s a cheat sheet of 7 of the most popular RAG architectures.
Which variants did we miss?