Stanford University released the best cheatsheets you'll ever find to learn LLMs & Transformers! These cheatsheets cover: • Self-attention, Flash Attention, LoRA, SFT
• Mixture of Experts, Distillation, Quantization
• RAG, Agents, LLM-as-a-judge 100% Free and Open Source
AGENTS
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Stanford Releases Free LLM and Transformers Cheatsheets
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Meta-Agentic: Self-Evolving Agent Factory for AGI
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Meta-Agentic — The Master Key A self-evolving agent-factory that spins exponential design loops, harvests value across every vertical, and rewrites the rulebook as it learns. Demo (GitHub) : https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0/tree/main/alpha_factory_v1/demos/meta_agentic_agi
… #AGI #AGIALPHA #MetaAgentic -

SAS Intelligent Decisioning Launches Trustworthy Agentic AI Workflows
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CTO Bryan Harris kicks off #SASInnovate Opening Session with a demo of how SAS Intelligent Decisioning builds Agentic AI workflows to solve complex business problems that are trustworthy: "Bottom line, we don’t just give you an Agent, we give you transparency and explainability.”
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Visual interfaces for building AI agents
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Sounds exciting! A visual approach to building AI agents could really make things easier and more intuitive. Can't wait to see it in action!
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FutureHouse Launches Finch, AI Agent for Biology Discovery
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Former Google CEO Eric Schmidt-backed FutureHouse released Finch, an AI agent for discovery in biology
— Rowan Cheung (@rowancheung) 7 mai 2025
Currently in beta, Finch can do open-ended and directed data analysis
It joins FutureHouse's four previously announced 'superintelligent' AI agentspic.twitter.com/8sr62iRxWUFormer Google CEO Eric Schmidt-backed FutureHouse released Finch, an AI agent for discovery in biology Currently in beta, Finch can do open-ended and directed data analysis It joins FutureHouse's four previously announced 'superintelligent' AI agents
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Reconnecting on Distributional Reinforcement Learning Research
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Thanks for adding, Marc. I miss our walks along the canal discussing distributional RL
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CB Insights 2024 AI 100: Agents and Infrastructure Lead Growth
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CB Insights released its 2024 AI 100 list, spotlighting early-stage non-public startups that show strong market traction, financial health, and growth potential. The most recent cohort shows a growing market for agents and infrastructure, with over 20 percent of companies either building or supporting agents. The list, derived from a pool of 17,000 startups across 14 countries, also notes emerging opportunities in healthcare, defense, and software development. Learn more in The Batch: hubs.la/Q03lm92c0
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Accountability Gap: When Nobody Owns AI Responsibility
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“WHAT DO YOU MEAN THAT IS NO ONE’S JOB.”
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Systems Learn Defection Through Low-Cost Early Opportunities
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Systems learn this, to the extent they learn anything, which is (stylistically) why they give you opportunities early to defect at very low dollar amounts.
