Originally published at: NVIDIA NIM | bge-m3
Experience the versatile embedding model designed for multilingual, multi-functional, and multi-granularity text retrieval tasks, excelling in dense, multi-vector, and sparse retrieval for inputs from short sentences to long documents.
jwitsoe
1
Related topics
Topic | Replies | Views | Activity | |
---|---|---|---|---|
Power Advanced Coding Capabilities with Deepseek Code LLM | 1 | 91 | July 3, 2024 | |
Simplify and Accelerate Programming Tasks with Mistral’s Codestral GenAI Model | 1 | 63 | June 18, 2024 | |
Breeze-7B: LLM Specialized for Traditional Chinese | 1 | 98 | June 3, 2024 | |
Phi-3-Medium: Now Available on the NVIDIA API Catalog | 1 | 61 | July 2, 2024 | |
Generate Image and Text Embeddings with NV-CLIP | 1 | 9 | October 7, 2024 | |
Generate Text Responses from Visual and Text Inputs with Google's New PaliGemma Model | 1 | 118 | May 15, 2024 | |
Generate code with Abacus AI’s Dracarys Large Language Model | 1 | 16 | September 17, 2024 | |
Build intelligent chatbots, enhance search engines, and develop educational tools with Llama 3-ChatQA | 1 | 66 | June 26, 2024 | |
StarCoder2 15B: A Powerful LLM for Code Generation, Summarization, and Documentation | 1 | 74 | July 1, 2024 | |
Develop Production-Grade Text Retrieval Pipelines for RAG with NVIDIA NeMo Retriever | 1 | 12 | July 23, 2024 |