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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... show more

Fetch.ai

264,351 subscribers

29,075 Aufrufe • vor 1 Jahr •via X (Twitter)

Wissenschaft & Technologie

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Profilbild von FF | Web3 Marketing & Creators Agency

FF | Web3 Marketing & Creators Agencyvor 1 Jahr

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

Profilbild von Rainmaker

Rainmakervor 2 Jahren

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%.

Profilbild von JOKI TUGAS CEPAT

JOKI TUGAS CEPATvor 1 Jahr

Good project

Profilbild von Habakuk it is

Habakuk it isvor 1 Jahr

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

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OpenAI engineer made $1.2M for one lecture on AI agents - and now Stanford is sharing it for free: 00:16 - how to be in the 5% building agents not the 95% being replaced 28:34 - one agent instead of 20 people 10x faster 59:47 - one prompt creates an agent making $100k a month after watching I realized - while I was paying my team an agent could do their work 10x faster cheaper Save & watch - the article below shows how to become the 5% who build agents and not the 95% they replace.

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Anthropic Engineer Andrej Karpathy: "The biggest mistake in AI right now - people are forcing agents to work instead of mastering the model first We made that mistake in 2016 at OpenAI - It cost us 5 years " what Karpathy actually means: step 1 → stop forcing your agent to do everything, understand the model underneath first step 2 → demos are easy - products take a decade. self-driving proved it - if you skip the foundation, everything breaks step 3 → the agent is not the product. the foundation is. build that - and agents emerge on their own "you building agents right now - you're at the forefront. not OpenAI. not DeepMind. you " watch - bookmark, then read article below ↓

Anthropic Engineer Andrej Karpathy: "The biggest mistake in AI right now - people are forcing agents to work instead of mastering the model first We made that mistake in 2016 at OpenAI - It cost us 5 years " what Karpathy actually means: step 1 → stop forcing your agent to do everything, understand the model underneath first step 2 → demos are easy - products take a decade. self-driving proved it - if you skip the foundation, everything breaks step 3 → the agent is not the product. the foundation is. build that - and agents emerge on their own "you building agents right now - you're at the forefront. not OpenAI. not DeepMind. you " watch - bookmark, then read article below ↓

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