this is great question! i think its an unexplored space. finetuning is much more heavy weight (error prone, hard to do, more data required, etc), so it will be interesting to see if you can achieve similar performance just by using examples
AI
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Create unlimited AI-generated images with Dreambooth and retain rights
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Did you know that you can create your own AI-generated images (that too unlimited) & keep the rights of your original images & have the trained model for yourself without spending a fortune? Try Dreambooth by AutoTrain: https://
huggingface.co/spaces/abhishe
k/dreambooth
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AlphaCode and AlphaTensor Named Top 10 Science Breakthroughs
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Awesome to see #AlphaCode (AI for competitive programming) and #AlphaTensor (AI for efficient matrix multiplication) both feature in Science's Top 10 Breakthroughs of the Year! Congrats to the teams!!
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Stantec Launches Flood Predictor Engine with Databricks
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Stantec set out to develop the first-ever rapid flood estimation product Learn about their Flood Predictor Engine, the challenges the data team encountered implementing production-grade geospatial feature engineering pipelines & how Databricks helps! https://
dbricks.co/3BlfBmi -
NVIDIA Special Address at CES: Accelerated Computing and AI Innovations
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Discover the latest innovations made possible by accelerated computing and artificial intelligence. Join us for the virtual NVIDIA Special Address at CES, taking place Jan 3 at 8 a.m. PT. https://
nvda.ws/3FHzCVG -
Connect-the-Dots: New Algorithm for Differential Privacy Loss Analysis
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Introducing Connect-the-Dots, a new accounting algorithm that uses an indirect approach to accurately discretize privacy loss distributions, yielding a useful tool for understanding the privacy cost of combinations of differential privacy algorithms. https://
goo.gle/3FIoFmD -
CS-2 Core Performance Optimization with Data Structure Descriptors
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We recently had a developer community meeting where we discussed how to get the most performance out of CS-2 cores with data structure descriptors (DSDs) in CSL Watch our recording here: https://
hubs.li/Q01vTWDN0 Want to join our next meeting? https://
hubs.li/Q01vV0xR0 #HPC #SDK -
Acknowledgment of Paper Contributors and Authors
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Thank you to @ThomasScialom
, @omerlevy_
, @timo_schick and @OHonovich for their work on this paper. -
Scaling Natural Language Instructions to 240K Diverse Examples
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New paper — In ‘Unnatural Instructions’ we propose a new method to automatically generate natural language instructions, allowing us to scale up to 240K diverse instructions & train models that rival the performance of contemporary instruction-tuned models. Read on ArXiv
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Groq First Vendor with Published Audited AI Benchmarking Results
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Peter Nabicht, President of STAC – Securities Technology Analysis Center, announced that @GroqInc is the first vendor to provide the financial services industry with published audited benchmarking results, making real-time #AI more accessible. Read more at http://
groq.link/stacpr