A cozy library with a wall painting that says “Superposition prompting accelerates and enhances RAG without fine-tuning, addressing long-context LLM challenges. 93× reduction in compute time on NaturalQuestions-Open with MPT-7B”
“Superposition prompting accelerates and enhances RAG without fine-tuning, addressing long-context LLM challenges. 93× reduction in compute time on NaturalQuestions-Open with MPT-7B 🤯 Key Insights from this Paper 💡: • Parallel processing of input documents can reduce compute
“Learn to build an AI Scheduler for smart meetings using Zoom, LlamaIndex & Qdrant @ the AWS Loft on September 20th! Join us for a hands-on workshop where you’ll: 🚀 Create a RAG recommendation engine for meeting productivity 🔍 Use Zoom’s transcription SDK to analyze missed
“🚨 Cool tool alert! 🚨 Finally tried Kotaemon, an open-source RAG tool for document chat! With local models, it’s free and private. Perfect for journalists and researchers. I put Kotaemon to the test with EPA’s Greenhouse Gas Inventory. Accurately answered questions on CO2
“Build your own RAG-based document QA system with Kotaemon, an open-source UI for chatting with your documents 📚🤖 Learn how to: ➡️ Set up a clean, customizable RAG UI for end users and developers ➡️ Organize LLM & embedding models, supporting both local and API providers ➡️ https://x.com/llama_index/status/1833907464355647906
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