Cambrian explosion happening lately running LLMs on cheap commodity hardware. For perspective, this is 4x bigger than GPT-2 and only 1 OOM smaller than GPT-3. There's a huge number of security and privacy-conscious applications becoming "good enough" to do self-hosted.
LLMS
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Distinguishing Humans from AI Through Emotion and Sensation
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“O’Gieblyn observes that “…we quell our anxiety [about AI] by insisting that what distinguishes humans is…the ability to experience and feel: the qualities…that we share with animals.”
(+ shoutout to
@erik_davis
) https://
nytimes.com/2023/03/12/opi
nion/chatbots-artificial-intelligence-future-weirdness.html?smid=nytcore-ios-share&referringSource=articleShare
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OpenICL: Open-source toolkit for in-context learning and LLM evaluation
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8/ OpenICL – a new open-source toolkit for in-context learning and LLM evaluation; supports various state-of-the-art retrieval and inference methods, tasks, and zero-/few-shot evaluation of LLMs.
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MathPrompter Improves LLM Mathematical Reasoning Performance
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9/ MathPrompter – a technique that improves LLM performance on mathematical reasoning problems; it uses zero-shot chain-of-thought prompting and verification to ensure generated answers are accurate.
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Foundation Models for Decision Making: Tools and Methods
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6/ Foundation Models for Decision Making – provides an overview of foundation models for decision making, including tools, methods, and new research directions.
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Hyena Hierarchy: Subquadratic Attention Replacement for LLMs
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7/ Hyena Hierarchy – a subquadratic drop-in replacement for attention; it interleaves implicit long convolutions and data-controlled gating and can learn on sequences 10x longer and up to 100x faster than optimized attention.
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A History of Generative AI: From GAN to ChatGPT
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4/ A History of Generative AI – an overview of generative AI – from GAN to ChatGPT.
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LLMs Override Semantic Priors Through In-Context Learning at Scale
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5/ LLMs do In-Context Learning Differently – shows that with scale, LLMs can override semantic priors when presented with enough flipped labels; these models can also perform well when replacing targets with semantically-unrelated targets.
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Tech Journalist and AI Marketing Director Profile
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#NewProfilePic تحياتي ومحبتي إعلامي تكنولوجيامدير تسويق وعلاقات لمجموعة عالميةصانع محتوىدبلوم صحافة ذكاء اصطناعي وميتافرس
Tech JournalistGroup Marketing & PR MngrAI & Meta -
ChatGPT, Bing Chat and the AI Ghost in the Machine
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ChatGPT, Bing Chat and the #AI ghost in the machine
by @garyg02 @VentureBeat Read more: https://
buff.ly/3ER2eMD #BigData #MachineLearning #ArtificialIntelligence #ML #MI #DataScience cc: @wil_bielert @patrickgunz_ch @terenceleungsf