This is how RLHF works btw the people doing it are just really fast.
MACHINE LEARNING
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ML Startups Focus on LLM Application Layer Next Three Years
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This is my bet too. And one I’ve talked about a lot. Next 3 years of ML startups and AI/ML VC will be focused on the application layer of LLMs (even the compute-optimal mini-LLMs like chinchilla). Buckle up.
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14 Enterprise AI Initiative Outcomes from Deloitte Report
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14 outcomes from #AI initiatives in the enterprise >>> @Deloitte >>> @MikeQuindazzi >>> #ML #DataAnalytics #Robotics >>> Report: http://
shorturl.at/gyFP9 -
Google’s Mu2SLAM: Unified Model For Speech And Text Understanding
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Google’s Mu2SLAM: Toward a Single Model For All Speech and Text Understanding Tasks https://
syncedreview.com/2022/12/22/goo
gles-mu2slam-toward-a-single-model-for-all-speech-and-text-understanding-tasks/
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Weatherford Partners to Accelerate Machine Learning and AI Energy Solutions
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We’re excited to announce our partnership with energy services leader @WeatherfordCorp to accelerate the development of their machine learning and AI-enabled offerings, helping deliver disruptive and innovative technologies to the energy industry. https://
bit.ly/3FS9aZz -
Machine Learning Project: Low-pass Filter and PCA Analysis
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Full Machine Learning Project — Low-pass Filter & Principal Component Analysis (Part 5.1) #DataScience
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OPT-IML: Instruction-Tuned Models for Diverse Language Tasks
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For OPT-IML, we boosted performance of our OPT-175B work using instruction tuning, allowing us to adapt it for more diverse language applications (Ex. Answering Q’s, summarizing text & translation). A 30B parameter model is available today with a 175B model available soon.
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Meta AI Announces OPT-IML: 175B Parameter Language Model
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Announcing OPT-IML: a new language model from Meta AI with 175B parameters, fine-tuned on 2,000 language tasks — openly available soon under a noncommercial license for research use cases. Research paper & more details on GitHub
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Largest Text-Molecule Model Enables ChatGPT-like Molecule Retrieval and Editing
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We build the largest Text-molecule model that does not rely only on aligned training pairs. Now you can retrieve and edit molecules based on text prompts. This will pave the way for #ChatGPT for #molecules https://
chao1224.github.io/MoleculeSTM @nvidia @Mila_Quebec @Caltech