✳flâneur — a map of the web's best reading
sashrika pandey
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on the atlas — 19
- The quotes on my wall | thesephist.com1 savers
- Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts | Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems1 savers
- Google AI Introduces PERL: A Game-Changing Approach to Reinforcement Learning Efficiency and Model Performance Optimization | by Multiplatform.AI | Mar, 2024 | Medium1 savers
- Startup Research: Oxymoron or Key to Success? | Perceiving Systems Blog2 savers
- RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback1 savers
- Naomi Saphra1 savers
- [2305.18654] Faith and Fate: Limits of Transformers on Compositionality1 savers
- Grounded language acquisition through the eyes and ears of a single child1 savers
- 2310.12921.pdf1 savers
- Homemade Girl Scout Cookies: Tagalongs, Samoas, Trefoils, Thin Mint : Baking1 savers
- Contextual AI on X: "Today, we’re excited to announce RAG 2.0, our end-to-end system for developing production-grade AI. Using RAG 2.0, we’ve created Contextual Language Models (CLMs), which achieve state-of-the-art performance on a variety of industry benchmarks. CLMs outperform strong RAG… https://t.co/hbXtoyem7j" / X1 savers
- 2307.12950.pdf1 savers
- the friendship theory of everything68 savers
- Introduction - SITUATIONAL AWARENESS: The Decade Ahead44 savers
- ChatGPT Is a Blurry JPEG of the Web | The New Yorker22 savers
- Advice to Young People, The Lies I Tell Myself - jxnl.co19 savers
- Everything Good in NYC - Google Docs16 savers
- Training great LLMs entirely from ground zero in the wilderness as a startup — Yi Tay7 savers
- What Conversation Can Do for Us | The New Yorker2 savers