Nice! Like the track of work. Equations of Transformer are a bit like low-level microcode, this track tries to "go up" to uncover an implied assembly instruction set (e.g. RAW "read-arithmetic-write" operator?), and implemented algorithms on top of that for e.g. ridge regression.
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MLCommons Algorithms Benchmark Standardizes Neural Network Training Comparison
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Today at 3:30pm, come by the #NeurIPS2022 Google booth to hear @zacharynado talk about the @MLCommons Algorithms benchmark, an effort to standardize how researchers compare training algorithms for neural networks. https://
github.com/mlcommons/algo
rithmic-efficiency
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AWS DataZone and ML Forecasting Close Enterprise Data Gaps
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Close #data gaps! with ' #software that works the way you think' #reInvent From integrative #data #governance with #DataZone to enhanced #discovery with 'Q' #ML based #forecasting #ReInvent #Security #CyberSecurity @Paula_Piccard @RetailInstant @awslambdas #coding #Analytics
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Chains for User Input and Memory in LangChain
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Yes to both! I think they are probably slightly different things, ones getting it know if it needs more info (adding in a “user input” chain) and another is getting it to keep the overall goal in mind (memory probably good for this)
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GPT-3 Generates Personal Website Automatically
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Here's an example using text-davinci-003 to generate a quick personal website. I first asked GPT-3 to plan + ask me questions to clarify details. Then, it generated the site. (Everything other than "Matt's Answers" was generated by GPT-3). See the second pic for the site.
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Easy Feature Addition Discussed for LangChain Repository
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hah @sjwhitmore and i were discussing that! we ended up not implementing yet but should be an easy addition… made a ticket! https://
github.com/hwchase17/lang
chain/issues/224
… if you want to tackle could be a good first pr… otherwise i think we can probably get it in in the next few days! -
LangChain 0.0.24: Logging Improvements and Advanced AI Models
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LangChain version 0.0.24 Add chain name for better logging (@Hansenq)
Bump default @OpenAI model to `text-davinci-003` (!!!) (@shyamalanadkat)
PaL (Program-aided Language Models) Chain (!!!) with help from @aman_madaan et co. https://github.com/hwchase17/langchain
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Predibase CEO presents low-code ML systems at TMLS2022
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Hope to see everyone at #TMLS2022 today! Piero Molino, Predibase CEO & creator of open-source http://
Ludwig.ai is leading a talk on how #lowcode declarative ML systems enable teams to rapidly build, iterate and deploy state-of-the-art models. https://
pbase.ai/TMLS22 -
Choosing the Right YOLO Model for Your Object Detection Project
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Choosing the right model is a daunting task when working on a new object detection project.
— Satya Mallick (@LearnOpenCV) 29 novembre 2022
The following article will help you narrow down the ideal YOLO model best catered to your project needs.
https://t.co/92yGeRRp2m
#computervision #yolov6 #ai #yolo #yolov5 #yolov7 pic.twitter.com/TSqUwhm4xDChoosing the right model is a daunting task when working on a new object detection project.
The following article will help you narrow down the ideal YOLO model best catered to your project needs. https://
learnopencv.com/performance-co
mparison-of-yolo-models/
… #computervision #yolov6 #ai #yolo #yolov5 #yolov7 -
From STEM to STEAM: What Makes a Great Data Scientist
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In Love with #DataScience Series! What makes a #DataScientist #STEM to #STEAM & Beyond 🙂 #Curiosity @SASsoftwareUKI #SAS https://
youtu.be/OF7dc0XrgYQ @YouTube #data #womeninSTEM #100DaysOfCode #AI @Shi4Tech @Paula_Piccard @1OFFGINGER @moingshaikh @ipfconline1 @IainLJBrown #ML