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1 Understanding the Elegant Math Behind Modern Machine Learning 1:14:43
1:14:43
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Tykätty1:14:43
Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying math that powers modern machine learning to help everyone grasp this technology impacting our lives, even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…
Vimcasts
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Sisällön tarjoaa Drew Neil. Drew Neil tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
Regular free screencasts about the Vim text editor.
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76 jaksoa
Merkitse kaikki (ei-)toistetut ...
Manage series 1153673
Sisällön tarjoaa Drew Neil. Drew Neil tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
Regular free screencasts about the Vim text editor.
…
continue reading
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×Yanking and pasting works seemlessly between Neovim’s regular buffers and terminal buffers. In this video, we’ll look at how the Normal mode paste command works in a terminal buffer, and we’ll create a mapping to help with pasting text directly from Terminal mode.
Neovim lets us create mappings using the meta key. In this video, we’ll set up some mappings to make it easier to exit from Terminal mode. We’ll also set up mappings using the meta key with h, j, k, and l to switch between split windows.
Neovim lets you run a terminal emulator inside of a buffer. In this video, we’ll cover some of the basics of how terminal buffers work, and how you can use them alongside regular buffers in your workflow.
This video covers a couple of small but delightful Neovim features. You’ll see how to make Neovim show a live preview of how the substitute command will change our document. And you’ll find out how to make the yank operation highlight the range of text that it copied.
Neovim’s :checkhealth command can diagnose problems with your configuration. In this video, we’ll run this command and follow its suggestions to enable features such as python integration and ruby integration.
In this video, we’ll see how to install and set up Neovim so that it reuses your existing Vim configuration files. Most plugins should work in Neovim just like they do in Vim.
Minpac is a minimal package manager for Vim 8. It makes it easy to add plugins, keep them up to date, and remove them. In this video, we’ll see how it works.
Packages are a new feature in version 8 of Vim. In this video, we’ll see how we can use packages to easily install Vim plugins. The process will be familiar if you’ve used pathogen .
When UltiSnips is triggered from Visual mode it captures the selection and makes it available to our snippets. We can then insert the selection unchanged with the $VISUAL placeholder, or we can use UltiSnips Python interpolation to transform the text before inserting it back into the document.
UltiSnips can execute Python code and interpolate the result into a snippet. This makes it possible to create snippets that react to the text entered in each field. We’ll look at an example that performs a simple calculation and inserts the result into our document.
Snippets allow you to quickly insert predefined chunks of text into your document. The feature as I know it was first introduced in TextMate, but it has since been emulated by many other editors. For Vim users who want this functionality, the UltiSnips plugin is a great choice. Let’s start by looking at the basics.…
Swapping two regions of text is a common task, which normally requires that we make two separate changes to the document. Tom McDonald’s exchange plugin offers an elegant alternative, by providing an operator that swaps two regions of text in one go.
We can use pandoc as a filter to clean up WYSIWYG -generated HTML. Pandoc is a commandline program, but we can call it from inside Vim either using the bang Ex command , or by configuring the formatprg option to make the gq operator invoke pandoc.
The gn command (introduced in Vim 7.4) makes it easy to operate on regions of text that match the current search pattern. It’s especially useful when used with a regex that matches text regions of variable length.
Lots of Vim’s built-in Normal mode commands can be executed multiple times by prefixing them with a count. User-defined Normal mode mappings don’t usually handle counts the way we might like them to. We’ll explore a couple of techniques for making our custom mappings respond predictably to a count.
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