With Pandas AI you can: → Clean the Data → Impute missing values → Generate New features → Analyze and manipulate the data Not just that you can also ask it to plot the charts: Here is plotting Histogram with Pandas AI:
DATA
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PandasAI: Generative AI for Natural Language Data Analysis
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Python library that adds Generative AI capabilities to Pandas Introducing PandasAI, now you can analyze complex data frames and plot visualizations just by using natural language:
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AI Preventing Financial Exclusion Through Payment Behavior Detection
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Excellent discussion Efi @efipm @money2020 I am especially interested in the role of #AI to help prevent financial exclusion, for example identifying #payments behaviour change and enabling early intervention for assistance – before it reaches a point that it can be hard to
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Managing 180ZB Data Growth: Cybersecurity and Strategy Alignment
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The surge in data creation is astounding, with 180ZB expected next year. Amidst rising cyber threats, it's crucial to align data strategies with business goals. Lenovo's Data Health Check quiz is an excellent tool for evaluating and enhancing your data management skills.
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FineWeb Extended Report and Blog Post Coming Soon
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We're finishing a pretty awesome extended blogpost/report on FineWeb in which you'll find all the info – stay tuned!
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Data Scarcity and Building Data Abundance for AI
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7/ On data, it's a bit more complicated. We've exhausted most of the internet as pre-training data, and as previously mentioned, the gains are coming from post-training. The next 4 years will need us to overcome data scarcity and build data abundance.
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Building Data Infrastructure for AI Progress
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8/ This too will be one of the great infrastructure projects of our time—ensuring we build the means of production of new data across the frontier to fuel AI progress.
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OpenAI’s 2020 Scaling Laws Paper: Foundation of Modern AI
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4/ The key insight of scaling laws was actually published earlier that year in Jan 2020 by OpenAI—"Scaling Laws for Neural Language Models" This paper and GPT-3 ultimately was the start of the current AI era of rapidly scaling language models—especially the compute + data needed
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Scaling Compute and Data: The Infrastructure Challenge Ahead
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5/ The next 4 years, like the last 4 years, will be all about scaling. Much of progress depends on our ability to keep scaling compute + data exponentially. This is no easy feat. Scaling data + compute will be some of the largest infrastructure projects of our time.
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FineWeb Dataset: Improvements Over GPT-2 Training Data
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10B tokens of FineWeb! Ilya said WebText was 40B tokens (
https://
youtube.com/watch?v=13CZPW
mke6A&t=3645s
… – for gpt2 1.5b) what accounts for the improved loss/accuracy that you got over GPT2 – have we improved our dataset filtering? were there smarter hparam choices made here? any ballpark attributions
