Generative AI Application Ecosystem: Challenges and Best Practices Curiosity: What challenges do organizations face when deploying Generative AI? How can we avoid common pitfalls and build success...

𝟭. 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 🔹𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻: Establishes the project’s scope, objectives, and requirements. 🔹𝗔𝗰𝘁𝗶𝘃𝗶𝘁𝗶𝗲𝘀: Involves gathering and analyzing requirements, defining the project roadmap, and allocatin...

How to Prepare for a Google Interview: A Systematic Approach Curiosity: How can we systematically prepare for technical interviews at top tech companies? What knowledge should we retrieve to max...

RankRAG: NVIDIA’s Dual-Purpose Re-Ranker/Generation Models Curiosity: How can a single model handle both context re-ranking and answer generation? What happens when we instruction-tune for both ta...

Agentic RAG Cookbook: Improving RAG with Agent Systems Curiosity: What if RAG systems could think more like humans—questioning their own retrievals, reformulating queries, and iterating until they...

Top 6 “Anything as a Service” Models in 2024 Curiosity: How are XaaS models revolutionizing business operations? What cloud-based services offer the best efficiency, scalability, and cost saving...

👉 Github : https://github.com/FunAudioLLM 👉 HuggingFace : https://huggingface.co/papers/2407.04051 Voice Understanding and Generation Foundation Models for Natural Interaction Betw...

👉 Github : https://github.com/likejazz/ggml-simple Open Source RouteLLM Shows the Real Battle is in Query Routing. llama.cpp도 Georgi Gerganov가 주말에 llama 모델을 ggml로 구현하는 hackday를 진행하면서 시작 됐죠. 그...

Choosing the Right Vector Database for LLM Applications Curiosity: How does vector database choice impact LLM application performance? What factors should we consider when selecting a vector datab...

GraphRAG is Now Open Source! Curiosity: How can we extract meaningful, structured data from unstructured text? What happens when we combine knowledge graphs with RAG? GraphRAG is Microsoft’s open...