And don't miss our @ORNL presentation about Low-Latency Inference at Scale in the age of LLMs and #ML Accelerators. More details here: https://
ornl.github.io/events/SMCAI-A
ugust-2023/
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LLMS
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Low-Latency Inference at Scale for LLMs and ML Accelerators
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Google’s Gemini to surpass GPT-4 with massive FLOPS increase
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Gemini may eat the world: Google's Gemini is poised to surpass GPT-4 with a projected 5x more pre-training FLOPS by year's end and a potential 20x by next year. AI is just getting started.
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Improving SQL Question-Answering Systems with LangChain
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We're continuing to do a deep dive on improving question-answering over SQL data Some initial improvements by @fpingham have already made it much more resilient to questions involving text (song titles, artist names, etc) Access it here: https://
sql-langchain.streamlit.app -
Meta Releases Code Llama Foundation Models Family Open Source
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Meta releases the Code Llama foundation models family in open source https://actuia.com/actualite/meta-publie-la-famille-de-modeles-de-fondation-code-llama-en-open-source/
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Human Preference Evaluation as LLM Gold Standard Despite Its Limitations
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2/2 So, the gold standard remains human preference evaluation, which is expensive and difficult to automate and scale. But even human preference evaluation has its flaws. E.g., see The False Promise of Imitating Proprietary LLMs (
https://
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GPU-Poor Mode and Creative Breakthroughs Under Computational Constraints
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I prefer to operate in “GPU-Poor” mode. I don’t agree with the take from the semianalysis piece. Creative breakthroughs often occur under constraints—new systems, models, and methods that can better take advantage of even larger-scale compute https://
semianalysis.com/p/google-gemin
i-eats-the-world-gemini
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LLMs Water Consumption and Climate Impact Concerns
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Also, LLMs are using millions of liters of water right now while much of the world suffers from drought. “Existential” harms (not just risks) aren’t always as “sexy” as nuclear war. Just ask the people paying for the propaganda for any distraction from climate change.
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Code Llama 34B Instruct Now Available on Hugging Chat
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Code Llama: Now on Hugging Chat 💻🦙
— Hugging Face (@huggingface) 28 août 2023
Try out the 34B Instruct model for free with super fast inference!
👉 https://t.co/TQ0ZaVZcdi pic.twitter.com/Vovq91thG2Code Llama: Now on Hugging Chat Try out the 34B Instruct model for free with super fast inference! http://
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Rights Alliance Secures Removal of Books3 from The Eye Platform
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Rights Alliance Secures Removal of Books3 from The Eye Platform https://actuia.com/actualite/rights-alliance-obtient-le-retrait-de-books3-de-la-plateforme-the-eye/
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Leveraging LLM Omniscience for Advanced Planning Strategies
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Avenging Polanyi's Revenge (Exploiting the Approximate Omniscience of LLMs in Planning..) https://
bit.ly/3ON7Zjx #AI #MachineLearning #DeepLearning #LLMs #DataScience