We are happy to announce Dr. Debashis Dutta, Senior Advisor to Chief Risk Officer at Saudi EXIM Bank as our speaker for 𝐢𝐧𝐚𝐮𝐠𝐮𝐫𝐚𝐥 𝐞𝐝𝐢𝐭𝐢𝐨𝐧 of Data Center Xpo in Riyadh, Saudi Arabia. 𝐕𝐢𝐬𝐢𝐭 𝐨𝐮𝐫 𝐰𝐞𝐛𝐬𝐢𝐭𝐞: bit.ly/4bjLs5V #exitodcxksa

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey | KDD 24' Tutorial arxiv.org/abs/2404.00621

RAG vs. Long-Context LLMs I have yet to see a convincing paper or technical blog showing that long-context LLMs can or will replace RAG. So far I've seen specific long-context applications where long-context LLMs thrive and current retrieval benchmarks are not convincing. This

#فيديو | تستثمر #مايكروسوفت 24 مليار دولار في السوق #السعودية تتركز في 3 مجالات، وستوفر 80 ألف فرصة عمل مباشرة وغير مباشرة، وفقا لما ذكرته لـ #الاقتصادية نائب رئيس الشركة في السعودية زينب الأمين mhmoud Hassan laota aleqt.com/2024/09/05/art…

Just coded a RAG pipeline in <1hr using only Cursor composer, optimized via Hyde (hypothetical document embeddings) and cohere reranker, without writing a single line of code. To make it more fun, I did the whole thing while just dictating to my computer with my voice, I

Quantum Computer Visualization.

✨ Learn how to simulate elastic objects in any representation with the Kaolin Library. Physically simulate: ✅Gaussian splats ✅Point clouds ✅Meshes and more… 👀 Watch the tutorial ➡️ nvda.ws/3Xjc6H9 on YouTube #NVIDIAResearch

🧠 Are LLMs Outpacing Human Researchers? A Groundbreaking Study Says Yes!🧠 In a recent study, researchers compared the novelty of ideas generated by 100 NLP experts with those from Large Language Models (LLMs) —and the results are eye-opening. LLMs outperformed human

Can confirm that humans have higher expectations for LLMs than they do for other humans... LLMs already do much better than average humans on many white-collar tasks. Yet, people aren't satisfied with nearly 90% accuracy at 100x human speed! 🤷‍♀️🤯

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