Midjourney killed stock photography! Now people generate images with Midjourney. That's why I created the Midjourney Mastery Guide. And it's free for next 24 hours after that it will be $27. Like & reply "Send" and I'll DM you the guide. (Must follow to receive it)
GENERATIVE AI
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Iterative Refinement Through Multi-turn Conversation With AI
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Indeed, that is an issue. It can be addressed by having a multiturn conversation with the system ("Actually I wanted the text to be green") and allowing iterative refinement/correction that way, or the user can edit the generated code after the system generates a first cut.
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Master AI Tools to Build Innovative Solutions
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Learn to use all the amazing tools that are being built, and use them to do awesome stuff!
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Natural Language Programming with Generative Models
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Writing significant software systems using natural language instead of computer-oriented programming languages is one of the most significant aspects of generative models. It opens up the ability to get computers to do what you want to many more people!
— Jeff Dean (@JeffDean) 25 août 2024
(Video is fun to watch!) https://t.co/a7QbUK0hNkWriting significant software systems using natural language instead of computer-oriented programming languages is one of the most significant aspects of generative models. It opens up the ability to get computers to do what you want to many more people!
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LLMs are a broken way to build a knowledge base
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LLMs are a broken way to build a knowledge base.
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Google Keep AI feature automates list creation for users
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Google Keep now builds lists for you, thanks to AI – but there's a catch: Google's note-taking app doesn't just keep lists. Now, it can help you create them – for everything from packing to cooking. I tried it out. Here's how… https://
zdnet.com/article/google
-keep-now-builds-lists-for-you-thanks-to-ai-but-theres-a-catch/?utm_source=dlvr.it&utm_medium=twitter#ftag=RSSbaffb68
… #BigData #DataScience #IoT -
Methods for diversity and control in TinyStories generation
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Exactly — you can control and monitor how weird it’s getting through the example replacement/editing. Also, sampling from a k-shot pool. All the diversity-promoting methods in TinyStories have equivalents here too.
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Parameter Size vs Performance in AI Model Graphs
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also, since Kevin Scott didn’t afaik specify what’s plotted in his hypothetical graph, maybe it’s literally just parameter size and not performance lol
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Model Size Transparency Gap in Recent AI Releases
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Do we have firm data on size for all the recent models? not all have been fully forthcoming, as I recall.
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Thread Demonstrating k-shot Prompting Method
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I made another thread to illustrate the k-shot prompting method mentioned above:
