Part 2: Enhancing the Motoku LLM Retrieval System with OpenAI Embeddings and Prompt-based Retrieval By theeseus-ai โข 3 days ago โข 1
Finetuning clip can be done locally with decent results (even if you are GPU poor). By herooooooooo โข 3 days ago โข 2
Building a Motoku LLM Retrieval System Using Internet Computer Protocol, Motoko, and Node.js By theeseus-ai โข 4 days ago โข 2
BM25 for Python: Achieving high performance while simplifying dependencies with *BM25S*โก By xhluca โข 5 days ago โข 23
๐Introducing the first LLM-based Motion understanding model: MotionLLM By EvanTHU โข 5 days ago โข 2
๐จ ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming By sted97 โข 6 days ago โข 3
๐๐๐ฑ๐ด๐ถ๐ป๐ด ๐๐ต๐ฒ ๐๐๐ฑ๐ด๐ฒ๐: ๐๐๐ฎ๐น๐๐ฎ๐๐ถ๐ป๐ด ๐๐น๐ถ๐ด๐ป๐บ๐ฒ๐ป๐ ๐ฎ๐ป๐ฑ ๐ฉ๐๐น๐ป๐ฒ๐ฟ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐ ๐ถ๐ป ๐๐๐ ๐-๐ฎ๐-๐๐๐ฑ๐ด๐ฒ๐ By singh96aman โข 6 days ago โข 2
Part 2: Enhancing the Motoku LLM Retrieval System with OpenAI Embeddings and Prompt-based Retrieval By theeseus-ai โข 3 days ago โข 1
Finetuning clip can be done locally with decent results (even if you are GPU poor). By herooooooooo โข 3 days ago โข 2
Building a Motoku LLM Retrieval System Using Internet Computer Protocol, Motoko, and Node.js By theeseus-ai โข 4 days ago โข 2
BM25 for Python: Achieving high performance while simplifying dependencies with *BM25S*โก By xhluca โข 5 days ago โข 23
๐Introducing the first LLM-based Motion understanding model: MotionLLM By EvanTHU โข 5 days ago โข 2
๐จ ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming By sted97 โข 6 days ago โข 3
๐๐๐ฑ๐ด๐ถ๐ป๐ด ๐๐ต๐ฒ ๐๐๐ฑ๐ด๐ฒ๐: ๐๐๐ฎ๐น๐๐ฎ๐๐ถ๐ป๐ด ๐๐น๐ถ๐ด๐ป๐บ๐ฒ๐ป๐ ๐ฎ๐ป๐ฑ ๐ฉ๐๐น๐ป๐ฒ๐ฟ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐ ๐ถ๐ป ๐๐๐ ๐-๐ฎ๐-๐๐๐ฑ๐ด๐ฒ๐ By singh96aman โข 6 days ago โข 2