Essential LLM Terms You Should Know Want to speak GenAI fluently? Start with these:
• Transformer Architecture
• Attention / Self-Attention
• Pre-training vs Fine-tuning
• Embeddings & Context Window
• Zero-shot / Few-shot / Transfer Learning
• Tokenization, Inference,
MACHINE LEARNING
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Essential LLM Terms You Should Know to Speak GenAI Fluently
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Cartridges: Lightweight Long Context Representations via Self-Study
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Cartridges: Lightweight and general-purpose long context representations via self-study
Paper: https://
arxiv.org/pdf/2506.06266
.pdf
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Code: https://
github.com/HazyResearch/c
artridges
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And also a wonderful blog: https://
hazyresearch.stanford.edu/blog/2025-06-0
8-cartridges
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Cartridge: Pretrained KV Cache Reduces ICL Memory Footprint
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It turns out you can achieve pretty decent performance with far less memory! All you need is this clever new primitive called Cartridge—a pretrained key-value (KV) cache designed to replace the expensive runtime memory footprint of in-context learning (ICL) for large corpora
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Request for Public Benchmarks to Evaluate Claude Code System Prompts
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@AnthropicAI Are there any public benchmarks I can run when developing a system prompt for Claude Code? I'm an ML person so it's fine if it's a repo with a bunch of steps etc. It's hard to know what's working just by feel, because tasks are always different.
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OpenAI o4-mini Stuns Mathematicians Solving PhD-Level Problems
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Lors d’une réunion confidentielle à Berkeley, 30 des plus grands mathématiciens au monde ont mis à l’épreuve le nouveau modèle de raisonnement d’OpenAI, o4-mini, en lui soumettant des problèmes mathématiques inédits de niveau doctorat. Mais l’IA a sidéré l’assemblée en résolvant
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Reinforcement Pre-Training: Novel Approach to Model Training
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Reinforcement Pre-Training
Paper: https://
arxiv.org/pdf/2506.08007
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Reinforcement Pre-Training: Novel LLM Scaling via RL
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Reinforcement Pre-Training (RPT): A New Scaling Paradigm for LLMs via RL This paper proposes Reinforcement Pre-Training (RPT) — a fresh and ambitious reimagining of large language model (LLM) pre-training: instead of passive next-token prediction via supervised learning, RPT
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BAIR Researcher Andrea Bajcsy Wins NSF CAREER Award
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Congratulations to BAIR alumni @andrea_bajcsy who has earned the National Science Foundation (NSF) Faculty Early Career Development (CAREER) award!
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Arithmetic Coding with LLM Probability Distributions Explained
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yes, it’s arithmetic coding using the LLM probability distribution over training token sequences
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AI Quality Depends on Data Quality and Your Actions
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AI Is Only As Good As The Data Behind It—And What You Can Do About It
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @fabiomoioli @pascal_bornet @alliekmiller @mattshumer_ @OfficialLoganK @jeremyphoward @GaryMarcus