Weekend plans: Sleeping in Going to brunch Hanging with friends Unifying #data, analytics and #AI with #Lakehouse
AI
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LLMs Generating Training Data for Smaller Production Models
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I was referring to NLP tasks that already exist pre LLM hype era where LLMs are typically used to few shot or zero shot generate a lot of data for smaller production models.
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Production Performance vs Academic Benchmarks Eval Correlation
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What production performance are you referring to then? Or are you referring to academic benchmarks being bad in general? Because you would always need some eval benchmark ideally correlated to the prod use case.
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LLM Production Use Cases Beyond ChatGPT Benchmarking
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It really depends on what you mean by production settings though. LLMs are used for many things other than being a ChatGPT. Overall I agree with your thread and benchmark results should be interpreted with caution. (But can be still useful some times)
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Validating Tech Solutions Through Lived Experience and Expertise
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"The surest cure for BS is exposing it to the scrutiny of people who truly, deeply understand a problem through years of lived experience." +100! Plus "the problem" isn't crypto or #ai but what those techs are trying to solve in that use case. Thx @EthanZ for a def recommend read
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AI Code Generation: Beyond Syntax Errors to Production Quality
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Rec'd read: "AI may turn out to be bttr at producing code than writing academic papers, as determining whether a program runs w/o syntax errors is far less subjective" https://
bit.ly/41vgF2C Beyond syntax: Is it prod-ready code fitting the use case? Was the generation legal? 1/2 -
CTO Mohan Pannirselvam on IIoT Innovation and Engineering Impact
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Join the conversation with Mohan Pannirselvam, a young and motivated CTO with an engineering background and a passion for making an impact on technology progress, at All Things IIoT Day on Mar 2nd. http://
ow.ly/QUoy50MPW4t #IIoTDay #IIoTWorldDay #EngineeringMindset #FutureOfTech -
Scaling Laws Limited Predictors of AI Model Capacity
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yes, the scaling law, be it the chinchilla or Kaplan ones, are not at all a prediction/measure of the capacity of a model -in retrospect if you take a system-wide approach, with deployment/finetuning in consideration, they probably matter a lot less than people think
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Essential Machine Learning Techniques for Data Science
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Unlock the power of #MachineLearning with these essential techniques! By
@ingliguori
#DataScience #AI #BigData #CloudComputing #Fintech #Python #Cybersecurity #100DaysOfCode #JavaScript #DataAnalytics #DataScientists #100DaysofCode #datadriven #data #edutech #rstats #iot #Python3 -
Big Tech Monetization: From Innovation to Rent-Seeking Squeeze
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the facebook and twitter pay to verify stuff feels a lot like airlines inventing bag fees. companies that get mature and stagnant, start facing hard times and then try to squeeze captive customers