Part 2: Enhancing the Motoku LLM Retrieval System with OpenAI Embeddings and Prompt-based Retrieval By theeseus-ai • about 11 hours ago • 1
Finetuning clip can be done locally with decent results (even if you are GPU poor). By herooooooooo • about 14 hours ago • 2
Building a Motoku LLM Retrieval System Using Internet Computer Protocol, Motoko, and Node.js By theeseus-ai • 1 day ago • 2
BM25 for Python: Achieving high performance while simplifying dependencies with *BM25S*⚡ By xhluca • 3 days ago • 22
🚨 ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming By sted97 • 4 days ago • 3
𝗝𝘂𝗱𝗴𝗶𝗻𝗴 𝘁𝗵𝗲 𝗝𝘂𝗱𝗴𝗲𝘀: 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗻𝗴 𝗔𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗩𝘂𝗹𝗻𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗶𝗻 𝗟𝗟𝗠𝘀-𝗮𝘀-𝗝𝘂𝗱𝗴𝗲𝘀 By singh96aman • 4 days ago • 2
Open-source embeddings and LLMs outperform Gemini and OpenAI for Web Navigation while being faster and cheaper By dhuynh95 • 7 days ago • 4
Part 2: Enhancing the Motoku LLM Retrieval System with OpenAI Embeddings and Prompt-based Retrieval By theeseus-ai • about 11 hours ago • 1
Finetuning clip can be done locally with decent results (even if you are GPU poor). By herooooooooo • about 14 hours ago • 2
Building a Motoku LLM Retrieval System Using Internet Computer Protocol, Motoko, and Node.js By theeseus-ai • 1 day ago • 2
BM25 for Python: Achieving high performance while simplifying dependencies with *BM25S*⚡ By xhluca • 3 days ago • 22
🚨 ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming By sted97 • 4 days ago • 3
𝗝𝘂𝗱𝗴𝗶𝗻𝗴 𝘁𝗵𝗲 𝗝𝘂𝗱𝗴𝗲𝘀: 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗻𝗴 𝗔𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗩𝘂𝗹𝗻𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗶𝗻 𝗟𝗟𝗠𝘀-𝗮𝘀-𝗝𝘂𝗱𝗴𝗲𝘀 By singh96aman • 4 days ago • 2
Open-source embeddings and LLMs outperform Gemini and OpenAI for Web Navigation while being faster and cheaper By dhuynh95 • 7 days ago • 4