10 yrs ago @karpathy wrote a blog post on the outlook of AI: https://
karpathy.github.io/2012/10/22/sta
te-of-computer-vision/
… in which he describes how difficult it would be for an AI to understand a given photo, concluding "we are very, very far and this depresses me."
Today, our Flamingo steps up to the challenge.
RESEARCH
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Flamingo AI Advances Computer Vision Beyond Past Predictions
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AI Inference Hardware Optimization for Machine Learning Workloads
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Thank you for your continued support as we work to help companies run AI inference workloads faster, cooler, and more cost-effectively using #atmemorycomputation. We look forward to the innovations and advancements that 2023 will hold! #ML #deeplearning #neuralnetworks #AI
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Fine-tuning vs. In-context Learning: Exploring Alternative Approaches
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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
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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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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 -
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://
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Award-Winning Research on Language Grounding in Robotic Affordances
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Congratulations to the authors of “Do As I Can, Not As I Say: Grounding Language in Robotic Affordances” (see the blog at https://
goo.gle/3QRJhgl) for winning the Special Innovation Award at @corl_conf
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LLMs Reliability Limitations and Twitter Indexing Accuracy
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LLMs aren't yet 100% reliable, and our Twitter indexing isn't exhaustive. So Bird SQL may not be accurate on all queries.
— Perplexity (@perplexity_ai) 20 décembre 2022
Help us improve by sharing suggestions and feedback via Twitter, Discord (https://t.co/R4G21AmwQ7), support@perplexity.ai
Also seehttps://t.co/wgT9djadYnLLMs aren't yet 100% reliable, and our Twitter indexing isn't exhaustive. So Bird SQL may not be accurate on all queries. Help us improve by sharing suggestions and feedback via Twitter, Discord (
https://
discord.com/invite/kWJZsxP
DuX
…), support@perplexity.ai Also see -
Quantum advantage breakthrough achievement announced
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Sounds like a super cool quantum advantage result!