Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning paper page: https://
huggingface.co/papers/2307.02
053
… Recently, the release of INSTRUCTEVAL has provided valuable insights into the performance of large language models (LLMs) that utilize encoder-decoder or
AI
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Flacuna: Enhancing Vicuna Problem-Solving with FLAN Fine-Tuning
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ETH Zürich DLSC Course Introduction
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ETH Zürich DLSC: Course Introduction https://
bit.ly/3qTjAUD #AI #MachineLearning #DeepLearning #LLMs #DataScience -
OpenAI predicts AI Superintelligence before 2030 with extinction risk
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OpenAI predicts that we will arrive at AI Superintelligence (exceeding the capabilities of AGI, in their words) before 2030. They acknowledge this could either solve many of the world’s problems, or lead to the outright extinction of humanity. Posted today from OpenAI blog:
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AWS Embraces Generative AI: Cloud Giant’s Strategic Power Move
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#AWS: Embracing the Power of #GenerativeAI https://
readwrite.com/aws-embracing-
the-power-of-generative-ai/
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New Relic Launches Grok Generative AI Observability Assistant
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New Relic introduced Grok, the world’s first #GenerativeAI assistant for #observability https://
analyticsindiamag.com/how-generative
-ai-is-reshaping-observability-solutions/
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Recommendation for RLHF Technical Tutorial
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Great collection! And after the technical tutorials, I can highly recommend “How RLHF actually works”
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Chatbots and Voice-Cloning Drive AI-Powered Scams Rise
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Chatbots and Voice-Cloning Fuel Rise in AI-Powered Scams
#AI #AIio #BigData #ML #NLU #Futureofwork http://
ow.ly/trPO30svSft -
Chatbots and Voice-Cloning Drive Growth in AI-Powered Scams
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Chatbots and Voice-Cloning Fuel Rise in AI-Powered Scams
#AI #AIio #BigData #ML #NLU #Futureofwork @Kevin_Jackson @sallyeaves @schmarzo @kdnuggets @akwyz @BrettKing @TechNative @MiaD http://
ow.ly/23ro30svStP -
Social platforms evolving toward Twitter-like microblogging model
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Don’t worry. It will quickly turn into Twitter for your Instagram friends.
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End-to-End Learning Limitations: The Unspoken Assumption of Hardware
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EndToEnd learning is a fetish, even with pre-training. Why not include the computer, along with the software, and have that learned? Why the distinction? BECAUSE it won't work. The innate computing machine is assumed. Y'all are playing an intellectual game, but don't discuss it.