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Hybrid models efficiently route complex tasks to larger cloud models, but how do you go about creating one? 🤔 Cactus solved this by post-training Gemma 4 to return a confidence score for every prompt. Process the prompt locally when confidence is high, route to a larger model when confidence...

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Google Gemma

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24,618 просмотров • 14 дней назад •via X (Twitter)

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I finally released my new video on YouTube about Diffusion Models / Score-Based Generative Models. Literally planned this for a year and put so much work in. I think this approach to diffusion models is so intuitive and highly recommend giving that a go! Video is 38min long, so you will need some time to watch that haha.

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Small Language Models (SML) are the future of AI. "Small" (SML) instead of "Large" (LLM). These small models are highly specialized models with superhuman abilities on specific tasks. Here are two techniques to build these models: • Spectrum • Model Merging I give you a short introduction in the attached video, but here is a quick summary: Spectrum helps us identify the most relevant layers to solve one specific task. We can ignore everything else and focus on fine-tuning these layers. Using Spectrum, we can fine-tune models in a heartbeat. Model Merging combines multiple models into a unique, much better model than any of the individual input models. You can also combine models specialized in different tasks and get a model with multiple abilities. This is the state of the art of productizing models. It's what Arcee.ai's platform does behind the scenes. Arcee collaborated with me on this post and is sponsoring it. There are three main steps to produce a model for your particular use case: 1. You create a dataset by uploading your data. 2. You train a model. At this step, Arcee uses Spectrum and Model Merging to produce a highly specialized model for your task. 3. You can deploy that model to any environment you want. Three important notes: • Training process is 2x faster and 2x cheaper than regular fine-tuning. • Resultant models are smaller and have higher accuracy. • They create these specialized models from open-source models. Check this site so you can fully appreciate how this works: If you want to fine-tune an open-source model, consider Arcee's platform. This is the state of the art.

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Claude Opus 5 just one-shotted this FPS. Less than 1 hour from prompt to playable demo. Every weapon, enemy, mechanic and environment was generated from scratch. Prompt below 👇 There is no prompt below, because the first section is exactly the kind of post I’m tired of seeing every time a new model drops. A flashy demo, “one-shot” in the caption, “built in under an hour”… anything to farm impressions while conveniently hiding the actual process. If it was really made from a single prompt, show the prompt. That’s what I do on this account. When I claim something is a one-prompt prototype built with GPT-5.6 Sol Ultra and Codex, I share the prompt publicly so anyone can verify it. AI is already making game prototyping incredible. We don’t need fake “one-shot” stories to prove it. Original footage:

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In Prompt Engineering for Vision Models, taught by Abby Jacques Verre and Caleb Kaiser of Comet , you’ll learn how to prompt and fine-tune vision models for personalized image generation, image editing, object detection and segmentation. The prompts you'll use for vision models could be text, point coordinates, or bounding boxes, depending on the model. You'll also learn to tune hyperparameters to shape the output. Models you'll use include Segment-Anything Model (SAM), OWL-ViT, and Stable Diffusion. You'll also learn to fine-tune Stable Diffusion to generate personalized images (say, an image of a specific person), using a handful of images for training. As an example of a multi-step workflow, you'll use OWL-ViT to detect an object based on a text prompt, then pass the bounding box to SAM to create a segmentation mask, and input that mask into Stable Diffusion to replace the original object with a new one based on a text prompt. Controlling vision models can be tricky; this course will teach prompting and fine-tuning techniques to get precise control over their output. Get started here:

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Anthropic engineer: "Fable is one of those models you’ll just remember - like Sonnet 3.5, Opus 4, Opus 4.5. We just removed 80% of Claude Code’s system prompt. A new class of models wants a smaller prompt." in 20-minute session, an Anthropic core engineer reveals the capabilities of Fable. Watch it now, then read how to use this frontier model in the article below.
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Anthropic engineer: "Fable is one of those models you’ll just remember - like Sonnet 3.5, Opus 4, Opus 4.5. We just removed 80% of Claude Code’s system prompt. A new class of models wants a smaller prompt." in 20-minute session, an Anthropic core engineer reveals the capabilities of Fable. Watch it now, then read how to use this frontier model in the article below.

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Mark Manson has a brutally simple way to spot a narcissist. On Raj Shamani’s podcast, he explained that narcissism isn’t real confidence — it’s fake confidence built on deep insecurity. Narcissists look confident to people who doubt themselves, but the difference becomes obvious when you disagree with them or tell them “no.” A narcissist will belittle you, argue, call you stupid, or refuse to accept it. A truly confident person will say “okay, let’s talk about it,” admit when they’re wrong, or even thank you for the feedback. This one is gold because it’s such an easy test that actually works in real life. Once you see it, you can’t unsee it. In a world full of loud voices and performative confidence, knowing how to tell the difference protects your time, energy, and peace. How do you spot the difference between real confidence and narcissism in people?
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Mark Manson has a brutally simple way to spot a narcissist. On Raj Shamani’s podcast, he explained that narcissism isn’t real confidence — it’s fake confidence built on deep insecurity. Narcissists look confident to people who doubt themselves, but the difference becomes obvious when you disagree with them or tell them “no.” A narcissist will belittle you, argue, call you stupid, or refuse to accept it. A truly confident person will say “okay, let’s talk about it,” admit when they’re wrong, or even thank you for the feedback. This one is gold because it’s such an easy test that actually works in real life. Once you see it, you can’t unsee it. In a world full of loud voices and performative confidence, knowing how to tell the difference protects your time, energy, and peace. How do you spot the difference between real confidence and narcissism in people?

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Tom Brady says a sports psychologist at Michigan told him to 'quit bitching' “'Stop worrying about what the other quarterback's getting, stop worrying about what the coach is saying to you. Every time you get in there, you bring the juice. You bring the energy. You bring the enthusiasm. You treat practice like a game.'” “I started to change my attitude and I didn't have a lot of confidence in myself. And when you don't have a lot of confidence in yourself, you blame other people.” “And then all of a sudden when you gain confidence in yourself, you start pointing the finger at yourself. I would encourage every athlete to look in the mirror after every day of practice, of game, and say, 'What can I do better to help the team?'”

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