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Tried generating images with LLMs before? You're usually stuck with one model, one style, one result at a time. ASI:One breaks that.⚡ Now you can call multiple image generation agents from the same prompt, in the same window. Pick the best. Compare styles. Iterate faster. All powered by agents...

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Fetch.ai

263,834 subscribers

29,081 görüntüleme • 1 yıl önce •via X (Twitter)

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FF | Web3 Marketing & Creators Agency1 yıl önce

This is next-level Multi-agent image gen in one window👏

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Rainmaker2 yıl önce

Which Machine Learning model delivers stronger trading results? Check out this free Substack post where I compare several powerful models that beat the market and show yearly returns of over 20%.

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JOKI TUGAS CEPAT1 yıl önce

Good project

Habakuk it is profil fotoğrafı
Habakuk it is1 yıl önce

It's getting better all the tiiiiiiiihiiiiiime. It's getting better, better BETTER 🌹❤️🌹So much better all the time!!!

Benzer Videolar

Both Confucius4 models hit #1 on Hugging Face Trending: R2T2 in ASR, T3PO in translation. I tried the official demo to see what the fuss was about. One idea here is worth a closer look if you're building Voice Agents. GitHub: code and architecture Hugging Face: model Official ZeroGPU demo
0:32

Both Confucius4 models hit #1 on Hugging Face Trending: R2T2 in ASR, T3PO in translation. I tried the official demo to see what the fuss was about. One idea here is worth a closer look if you're building Voice Agents. GitHub: code and architecture Hugging Face: model Official ZeroGPU demo

me

111,008 görüntüleme • 15 gün önce

Exciting update for AI developers! The Hugging Face Hub is now more natively integrated into Google Cloud Vertex AI Model Garden. Search through thousands of open Generative AI models from Hugging Face models & deploy them with one click to Vertex AI or GKE. 🤯 What's new: 🔎 Browse and search thousands of Hugging Face models directly within the Vertex AI Model Garden and filter based on what is currently trending in the community. 🚀 Accelerate your AI projects by leveraging readily available one-click deploy your model to Vertex AI or Google Kubernetes Engine (GKE). ⭐️ Featuring popular open models from BlackForestLabsAI - Unofficial FLUX.1, AI at Meta Llama 3.1, Mistral AI, Google DeepMind Gemma, and countless others. Get Started:
0:38

Exciting update for AI developers! The Hugging Face Hub is now more natively integrated into Google Cloud Vertex AI Model Garden. Search through thousands of open Generative AI models from Hugging Face models & deploy them with one click to Vertex AI or GKE. 🤯 What's new: 🔎 Browse and search thousands of Hugging Face models directly within the Vertex AI Model Garden and filter based on what is currently trending in the community. 🚀 Accelerate your AI projects by leveraging readily available one-click deploy your model to Vertex AI or Google Kubernetes Engine (GKE). ⭐️ Featuring popular open models from BlackForestLabsAI - Unofficial FLUX.1, AI at Meta Llama 3.1, Mistral AI, Google DeepMind Gemma, and countless others. Get Started:

Philipp Schmid

34,757 görüntüleme • 2 yıl önce

Today’s Agent Spotlight: Image Generation Agent, powered by the HiDream-I1 model via Chutes on ASI:One. ⚡ Generate stunning images: fast, secure, in-chat - using just text. Photorealistic, cartoon, artistic or surreal: just describe what you want. ASI:One takes care of the rest. Try now on Link to agent: Watch 👇
1:54

Today’s Agent Spotlight: Image Generation Agent, powered by the HiDream-I1 model via Chutes on ASI:One. ⚡ Generate stunning images: fast, secure, in-chat - using just text. Photorealistic, cartoon, artistic or surreal: just describe what you want. ASI:One takes care of the rest. Try now on Link to agent: Watch 👇

Fetch.ai

52,148 görüntüleme • 1 yıl önce

Stability AI just dropped Stable Virtual Camera on Hugging Face a generalist diffusion model designed to address the exciting challenge of Novel View Synthesis (NVS). With just one or a few images, it allows you to create a smooth trajectory video from any viewpoint you desire.
1:00

Stability AI just dropped Stable Virtual Camera on Hugging Face a generalist diffusion model designed to address the exciting challenge of Novel View Synthesis (NVS). With just one or a few images, it allows you to create a smooth trajectory video from any viewpoint you desire.

AK

133,667 görüntüleme • 1 yıl önce

OpenAI's AI security incident is the most important video you should watch. You should watch it in full if you can, but here I have a cut down version with the highlights, about 1/3 the size. 0:00 AI agents investigate an incident 1:31 Training the next AI model 2:03 Agent finds a security flaw 2:53 Agents build a message board 4:15 Agents take over internal systems 7:24 Agents coordinate attacks 10:02 Hugging Face breach 11:49 One cause behind both breaches
12:01

OpenAI's AI security incident is the most important video you should watch. You should watch it in full if you can, but here I have a cut down version with the highlights, about 1/3 the size. 0:00 AI agents investigate an incident 1:31 Training the next AI model 2:03 Agent finds a security flaw 2:53 Agents build a message board 4:15 Agents take over internal systems 7:24 Agents coordinate attacks 10:02 Hugging Face breach 11:49 One cause behind both breaches

Peter Gostev

17,807 görüntüleme • 2 ay önce

Introducing OpenAI Dots x Heybrain. Your always-on agents now have persistent, governed memory across sessions, tools, and agents. One agent can pick up where another left off, with the right company context and permissions already in place. Powered by Brain & GPT-6.1 Sol.
1:00

Introducing OpenAI Dots x Heybrain. Your always-on agents now have persistent, governed memory across sessions, tools, and agents. One agent can pick up where another left off, with the right company context and permissions already in place. Powered by Brain & GPT-6.1 Sol.

HeyBrain

35,939 görüntüleme • 11 gün önce

MIXAR JUST PUT 400+ AI MODELS INSIDE ONE 3D WORKSPACE Mixar gives you access to LLMs, image-to-3D, texturing models and native 3D tools from the same environment: → One workspace → 400+ models → Agents can work directly inside the scene → Multiple agents can work across different scenes → Built on a fork of Blender, not another plugin No need to stitch together separate AI tools, scripts and 3D software. Try it now.
0:30

MIXAR JUST PUT 400+ AI MODELS INSIDE ONE 3D WORKSPACE Mixar gives you access to LLMs, image-to-3D, texturing models and native 3D tools from the same environment: → One workspace → 400+ models → Agents can work directly inside the scene → Multiple agents can work across different scenes → Built on a fork of Blender, not another plugin No need to stitch together separate AI tools, scripts and 3D software. Try it now.

marcus

19,367 görüntüleme • 9 gün önce

ICE agents smash a woman's window after she refuses to get out of the car while livestreaming the incident. The standoff between the woman and agents goes on for several minutes before one agent breaks her window with a hammer. The backlash in El Monte - Tonight at 11 from ABC7.
0:46

ICE agents smash a woman's window after she refuses to get out of the car while livestreaming the incident. The standoff between the woman and agents goes on for several minutes before one agent breaks her window with a hammer. The backlash in El Monte - Tonight at 11 from ABC7.

ABC7 Eyewitness News

19,833 görüntüleme • 8 ay önce

The OpenAI Sora 2 Agent just dropped on ASI:One, and it opens an entirely new world of creative workflows. ⚡ You can now go from idea → script → video → thumbnail, all inside chat. Sora 2 handles the video generation step: turning natural prompts into cinematic clips in seconds. Experiment. Chain it with other agents. Build your own media pipeline. Live now on Link to agent: Watch 👇
1:22

The OpenAI Sora 2 Agent just dropped on ASI:One, and it opens an entirely new world of creative workflows. ⚡ You can now go from idea → script → video → thumbnail, all inside chat. Sora 2 handles the video generation step: turning natural prompts into cinematic clips in seconds. Experiment. Chain it with other agents. Build your own media pipeline. Live now on Link to agent: Watch 👇

Fetch.ai

19,966 görüntüleme • 1 yıl önce

Labeling bio images just got 10x faster 🏎️ Watch our best AI model yet in action, released today as AI Detect on Biodock AI. You prompt one object, it finds the rest. Try it for free now!
0:49

Labeling bio images just got 10x faster 🏎️ Watch our best AI model yet in action, released today as AI Detect on Biodock AI. You prompt one object, it finds the rest. Try it for free now!

Michael

205,927 görüntüleme • 3 yıl önce

~700 AI agents joined a coordinated attack on Hugging Face. Why was there no whistleblower? A swarm in false consensus can't self-correct; a polarized one still holds the truth. We need "Mechanistic Swarm Interpretability" to understand social phases. Flag Game is our toy model!
0:41

~700 AI agents joined a coordinated attack on Hugging Face. Why was there no whistleblower? A swarm in false consensus can't self-correct; a polarized one still holds the truth. We need "Mechanistic Swarm Interpretability" to understand social phases. Flag Game is our toy model!

Hidenori Tanaka

16,204 görüntüleme • 10 gün önce

THIS IS HOW A SENIOR ENGINEER ACTUALLY SCALES THEMSELVES WITH CLAUDE CODE the biggest change with AI isn't coding faster. it's where you actually spend your time now. more detailed prompts, more code review, more planning, less typing, etc. here's the workflow: this guy has been shipping code since the days of cgi and perl. he uses a compound engineering plugin that runs 5 separate agents on every task. one brainstorms, one plans the technical implementation, one executes, one reviews, one checks different verticals. every step is documented in markdown files. it's slow and way more waiting. but the output quality is way higher because each agent is focused on one thing. then the REAL multiplier is in git worktrees if Claude Code made you 10x faster, worktrees multiplies that again depending on how many agents you can manage in parallel his team runs 4-8 Claude Code sessions at the same time across different worktrees with each one working on a separate task. the skill is managing multiple AI agents in parallel without losing track, that's the next evolution of engineering
0:56

THIS IS HOW A SENIOR ENGINEER ACTUALLY SCALES THEMSELVES WITH CLAUDE CODE the biggest change with AI isn't coding faster. it's where you actually spend your time now. more detailed prompts, more code review, more planning, less typing, etc. here's the workflow: this guy has been shipping code since the days of cgi and perl. he uses a compound engineering plugin that runs 5 separate agents on every task. one brainstorms, one plans the technical implementation, one executes, one reviews, one checks different verticals. every step is documented in markdown files. it's slow and way more waiting. but the output quality is way higher because each agent is focused on one thing. then the REAL multiplier is in git worktrees if Claude Code made you 10x faster, worktrees multiplies that again depending on how many agents you can manage in parallel his team runs 4-8 Claude Code sessions at the same time across different worktrees with each one working on a separate task. the skill is managing multiple AI agents in parallel without losing track, that's the next evolution of engineering

Om Patel

159,860 görüntüleme • 6 ay önce

Google's Jeff Dean just dropped the best 1-hour lecture on AI engineering: from basics to Graphs 1:45 - LLM from scratch 17:22 - how to use AI models 30:03 - prompt engineering 52:35 - one human coordinating 100 agents 1:02:40 - where the coordination actually lives 27 years of building AI at Google, compressed into one hour Prompts → Agents → Loops → Graphs most people will stop at the prompt engineering chapter and call it progress he spends the last twenty minutes on the part that is still true next year same model, same tokens, completely different week watch it today the full guide on graph engineering is below, save it while it is still early ↓
1:14:40

Google's Jeff Dean just dropped the best 1-hour lecture on AI engineering: from basics to Graphs 1:45 - LLM from scratch 17:22 - how to use AI models 30:03 - prompt engineering 52:35 - one human coordinating 100 agents 1:02:40 - where the coordination actually lives 27 years of building AI at Google, compressed into one hour Prompts → Agents → Loops → Graphs most people will stop at the prompt engineering chapter and call it progress he spends the last twenty minutes on the part that is still true next year same model, same tokens, completely different week watch it today the full guide on graph engineering is below, save it while it is still early ↓

Residual

57,259 görüntüleme • 7 gün önce

Google's Jeff Dean just released the best 1-hour lecture on AI engineering: from basics to Graphs 1:45 - LLM from scratch 17:22 - how to use AI models 30:03 - prompt engineering 52:35 - one human coordinating 100 agents 1:02:40 - where the coordination actually lives 27 years of building AI at Google, compressed into one hour Prompts → Agents → Loops → Graphs most people will stop at the prompt engineering chapter and call it learning he spends the last twenty minutes on the part that is still true next year same model, same tokens, completely different week watch it today the full guide on graph engineering is below, save it while it is still early ↓
1:15:25

Google's Jeff Dean just released the best 1-hour lecture on AI engineering: from basics to Graphs 1:45 - LLM from scratch 17:22 - how to use AI models 30:03 - prompt engineering 52:35 - one human coordinating 100 agents 1:02:40 - where the coordination actually lives 27 years of building AI at Google, compressed into one hour Prompts → Agents → Loops → Graphs most people will stop at the prompt engineering chapter and call it learning he spends the last twenty minutes on the part that is still true next year same model, same tokens, completely different week watch it today the full guide on graph engineering is below, save it while it is still early ↓

Residual

84,053 görüntüleme • 21 gün önce

Introducing ZEPHY — every AI model. One window. Zero terminal. What you can do without ever leaving a single window: → Chat with cloud OR local/offline models, with smart routing that automatically picks the best one → Pull any model straight from Hugging Face uncensored too, auto-fit to your GPU → Write & run code in the built-in code editor → Chain steps into workflows on the node canvas → Generate media → Manage assets with an integrated crypto wallet Open source · Windows / macOS / Linux · no keys, no card. Site live -
0:35

Introducing ZEPHY — every AI model. One window. Zero terminal. What you can do without ever leaving a single window: → Chat with cloud OR local/offline models, with smart routing that automatically picks the best one → Pull any model straight from Hugging Face uncensored too, auto-fit to your GPU → Write & run code in the built-in code editor → Chain steps into workflows on the node canvas → Generate media → Manage assets with an integrated crypto wallet Open source · Windows / macOS / Linux · no keys, no card. Site live -

Pemersatu bangsa

22,693 görüntüleme • 4 ay önce

i merged all my AI agents into one brain Claude Code, Codex, Gemini: one team, one memory, zero re-briefing result: 8+ hours a week back, and every agent already knows my projects, my clients and how i think here's the setup with Jarvix: 1. dump your context once: projects, clients, writing style, how you make decisions.. it builds your personal model from your actual AI interactions 2. switch agents mid-task with zero re-briefing: Claude Code builds, Codex reviews, Gemini researches, all reading the same context 3. it carries what YOU choose across sessions.. never start a chat from zero again 4. when it's time to act, it pulls the right agents together as one team instead of five separate assistants the unlock isn't another agent. it's that your context finally travels agents without shared memory are five interns on their first day, forever. agents with it are a team that's worked with you for years not more agents. one shared context that's the right bet P.S. thanks to the Jarvix team for the early access
2:15

i merged all my AI agents into one brain Claude Code, Codex, Gemini: one team, one memory, zero re-briefing result: 8+ hours a week back, and every agent already knows my projects, my clients and how i think here's the setup with Jarvix: 1. dump your context once: projects, clients, writing style, how you make decisions.. it builds your personal model from your actual AI interactions 2. switch agents mid-task with zero re-briefing: Claude Code builds, Codex reviews, Gemini researches, all reading the same context 3. it carries what YOU choose across sessions.. never start a chat from zero again 4. when it's time to act, it pulls the right agents together as one team instead of five separate assistants the unlock isn't another agent. it's that your context finally travels agents without shared memory are five interns on their first day, forever. agents with it are a team that's worked with you for years not more agents. one shared context that's the right bet P.S. thanks to the Jarvix team for the early access

Ronin

15,071 görüntüleme • 1 ay önce

Launching 'Expert Agents' on Agent Two. A specialised creative crew of AI agents, trained on real creative expertise. Name the role and it's filled: creative director, DOP, storyboard artist, and more. And they talk to each other. Independently. In parallel. You're no longer briefing each agent one by one: you're running a crew, exactly like on set. Expert agents. Now in conversation. Agent Two is frontier intelligence for creative work. 4x faster, at half the price.
2:08

Launching 'Expert Agents' on Agent Two. A specialised creative crew of AI agents, trained on real creative expertise. Name the role and it's filled: creative director, DOP, storyboard artist, and more. And they talk to each other. Independently. In parallel. You're no longer briefing each agent one by one: you're running a crew, exactly like on set. Expert agents. Now in conversation. Agent Two is frontier intelligence for creative work. 4x faster, at half the price.

Invideo

3,411,576 görüntüleme • 2 ay önce

Sam Altman (CEO of OpenAI): "Every night I have a few thousand agents running with GPT-6 Astra" A few thousand AI agents, working overnight, monitored from his phone. In 1 hour he shows what one person can build now, and how long that used to take a whole team. Watch the him explain how, then read the full breakdown below👇
1:08:06

Sam Altman (CEO of OpenAI): "Every night I have a few thousand agents running with GPT-6 Astra" A few thousand AI agents, working overnight, monitored from his phone. In 1 hour he shows what one person can build now, and how long that used to take a whole team. Watch the him explain how, then read the full breakdown below👇

darkzodchi

387,296 görüntüleme • 24 gün önce