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Agentic AI, AI, AI Ethics, AI Models, Synthetic Intelligence, Synthetic Mind, TrustLLM -

Abstract Introduction Background Trust LLM Preliminaries  Assessments Trustworthiness Truthfulness Safety Fairness Robustness Privacy Protection Machine Ethics  Transparency AccountabilityOpen Challenges Future WorkConclusions

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Abundance, Abundance Society, AGI, Cognition Services, Synthetic Intelligence, Synthetic Mind, UBI -

#AbundanceSociety2040 #UBI #ManualLabor #CognitionServices #SyntheticMind The future of human labor in the age of AGI and automation, as discussed in the articles from Digital Habitats, suggests significant shifts in both manual and cognitive work. Automation and AI advancements are predicted to take over a substantial portion of human jobs within the next 5 to 20 years. This transition could lead to increased efficiency and productivity, but also raises concerns about job displacement and economic disruption. The challenge will be to reimagine our relationship with labor and work, possibly leading to a post-labor economy where human creativity and innovation are directed...

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Let's explore LLM contamination and how we can make a LLaMA 13b model perform better than GPT4 against the most common benchmarks while avoiding contamination detection. Enjoy :) Get Cody, the free AI coding assistant, to fix bugs and complete code for you in seconds! https://bit.ly/3RFYi89 Become a Patron 🔥 - https://patreon.com/MatthewBerman Join the Discord 💬 - https://discord.gg/xxysSXBxFW Follow me on Twitter 🧠 - https://twitter.com/matthewberman Subscribe to my Substack 🗞️ - https://matthewberman.substack.com/ Media/Sponsorship Inquiries 📈 - https://bit.ly/44TC45V Need AI Consulting? ✅ - https://forwardfuture.ai/ Links: https://lmsys.org/blog/2023-11-14-llm-decontaminator/

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MistralAI is at it again. They've released an MoE (mixture of experts) model that completely dominates the open-source world. Here's a breakdown of what they released, plus an installation guide and an LLM test.

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Phi-2 is a tiny model that could fit on a phone, but it outputs huge language models like Llama 2. I explain more about how it was made and what it means. Then we see Imagen-2, the most stunning text-to-image yet, at least according to Google' images. We then glimpse Optimus 2, smaller in the sense that it's 10kg lighter! With more degrees of freedom, it's movements look a lot more humanoid. And then the full launch of AI Insiders, plus a recap of why we shouldn't use the MMLU to 2 decimal places! https://www.patreon.com/AIExplained phi2 now on HuggingFace: https://huggingface.co/microsoft/phi-2 Bubeck Video, min 19: https://www.youtube.com/watch?v=24O1KcIO3FM Phi 2: https://www.microsoft.com/en-us/research/blog/phi-2-the-surprising-power-of-small-language-models/ Shital Shah: https://twitter.com/sytelus/status/1734882570603753814 Shoggoth: https://twitter.com/norabelrose/status/1702488701782352097 Mamba 3B: https://www.together.ai/blog/mamba-3b-slimpj Phi 1.5B: https://arxiv.org/abs/2309.05463 Phi 1: https://arxiv.org/abs/2306.11644 Microsoft Prompting: https://www.microsoft.com/en-us/research/blog/steering-at-the-frontier-extending-the-power-of-prompting/ SmartGPT Video: https://www.youtube.com/watch?v=hVade_8H8mE&t=554s The Information: https://www.theinformation.com/articles/how-microsoft-is-trying-to-lessen-its-addiction-to-openai-as-ai-costs-soar?rc=sy0ihq Imagen 2: https://twitter.com/googledeepmind/status/1734954295655534780 https://deepmind.google/technologies/imagen-2/?utm_source=twitter&utm_medium=social https://twitter.com/elonmusk/status/1734763060244386074 Greg Technology: https://twitter.com/TheRundownAI/status/1734544659953623509 Swyx: https://www.latent.space/ AI Engineer: https://youtube.com/@aiDotEngineer?si=HhMdIwClGS3re9UK Shawn Wang: https://x.com/swyx?s=09 https://www.patreon.com/AIExplained

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