MIT's latest research discovered that LLM chatbots are capable of disseminating knowledge on how to trigger a pandemic. Here is my opinion about what role AI plays in this risk. TLDR: Knowledge censorship is a weak solution, and the real threat is not AI.
GENERATIVE AI
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Generative AI for Positive Change and Impact
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Thank you @ipfconline1
! If we use Generative AI in a positive way the. We can effect lots of positive change. -
LLMs Simplified: Pretraining and Fine-tuning Made Easy with PyTorch
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The "Sweet Lesson" is that using LLMs is simpler than we thought! Instead of complicated symbolic computations, we download a pretrained open-source LLM and finetune it in supervised fashion via <100 lines of PyTorch code.
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LLM in Production: Essential Playlist by MLOps Community
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LLM in Production – By MLOps Community This is an excellent playlist of LLMs in Production. Contains great talks and discussions around LLMs, their use-cases and how to make value with them. https://
youtube.com/playlist?list=
PL3vkEKxWd-us5YvvuvYkjP_QGlgUq3tpA
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Critique des problèmes méthodologiques dans l’évaluation GPT-4
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> "what hit most was that it got uploaded without coauthor permission" Sure, this was another issue. But wasn't the core issue the flawed evaluation setup the authors used? Using GPT-4 to score itself? And repeated prompting until the answer was correct, thus reaching 100%?
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Understanding Large Language Models: AI Foundation Explained
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I asked GPT to help you: An LLM, or "Large Language Model," refers to a type of artificial intelligence model that's been trained on a vast amount of text data. The purpose of these models is to understand and generate human-like text based on the input they receive. OpenAI's
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AudioPaLM Multimodal LM Enables Zero-Shot Speech Translation
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10/ AudioPaLM – fuses text-based & speech-based LMs, PaLM-2 and AudioLM, into a multimodal architecture; outperforms existing systems for speech translation tasks and has zero-shot speech-to-text translation capabilities.
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MotionGPT: Multimodal Control Signals for Human Motion Generation
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8/ MotionGPT – uses multimodal control signals for generating consecutive human motions; it quantizes multimodal control signals intro discrete codes which are converted to LLM instructions that generate motion answers.https://t.co/B2xAYdbuHc
— DAIR.AI (@dair_ai) 25 juin 20238/ MotionGPT – uses multimodal control signals for generating consecutive human motions; it quantizes multimodal control signals intro discrete codes which are converted to LLM instructions that generate motion answers.
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LMFlow: Extensible Toolkit for Foundation Model Fine-tuning
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7/ LMFlow – an extensible toolkit that simplifies finetuning and inference of general large foundation models; supports continuous pretraining, instruction tuning, parameter-efficient finetuning, alignment tuning, and large model inference.
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SequenceMatch: Backtracking Text Generation with Error Mitigation
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6/ SequenceMatch – incorporates backtracking into text generation through a backspace action; enables the model to mitigate compounding errors by reverting sample tokens that lead to sequence OOD.