Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

🚨Breaking: The world’s first agentic ML engineer is here. Neo AI plans, builds, tests, debugs, and deploys full ML pipelines end to end without manual input. Here is why it’s insane:

FutureStacked's profile picture

Future Stacked

280,573 subscribers

150,332 Aufrufe • vor 1 Jahr •via X (Twitter)

Gesundheit & WellnessWissenschaft & TechnologieBildung
LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

🚨BREAKING: The most powerful AI agent is here. This tool is insane. It researches, browses, and automates on autopilot. 10 wild use-cases + (beta link at the end):
0:25

🚨BREAKING: The most powerful AI agent is here. This tool is insane. It researches, browses, and automates on autopilot. 10 wild use-cases + (beta link at the end):

Robin Delta

325,595 Aufrufe • vor 1 Jahr

Seele SEELE AI is the world’s first end-to-end multimodal game model. This AI lets you build an entire 3D game with one sentence. #seeleai #aigame #Seele
0:43

Seele SEELE AI is the world’s first end-to-end multimodal game model. This AI lets you build an entire 3D game with one sentence. #seeleai #aigame #Seele

Mensah Sarkcess

194,511 Aufrufe • vor 1 Jahr

Introducing NEO: The first Autonomous Machine Learning Engineer. NEO is a multi-agent system that automates the entire ML workflow, saving engineers thousands of hours of grunt work. Our recent advancements in multi-step reasoning and memory orchestration have enabled NEO to excel at solving complex Machine Learning problems on its own from data engineering to deployments of ML models. Benchmarks: NEO was tested against 50 Kaggle competitions and scored a medal in 26% of them, far superior than the previous state of the art performance of 16.9% by Open AI’s O1 with AIDE scaffolding on the MLE bench With these capabilities, NEO aims to help every ML engineer become superhuman and focus on real innovation instead of the existing grunt work Check out NEO in the thread below:
2:14

Introducing NEO: The first Autonomous Machine Learning Engineer. NEO is a multi-agent system that automates the entire ML workflow, saving engineers thousands of hours of grunt work. Our recent advancements in multi-step reasoning and memory orchestration have enabled NEO to excel at solving complex Machine Learning problems on its own from data engineering to deployments of ML models. Benchmarks: NEO was tested against 50 Kaggle competitions and scored a medal in 26% of them, far superior than the previous state of the art performance of 16.9% by Open AI’s O1 with AIDE scaffolding on the MLE bench With these capabilities, NEO aims to help every ML engineer become superhuman and focus on real innovation instead of the existing grunt work Check out NEO in the thread below:

Neo AI

321,221 Aufrufe • vor 1 Jahr

🚨BREAKING: The future of lifelogging is here. Meet Looki L1 — the world’s first multimodal AI wearable. → It sees. → It hears. → It understands your life. Looki #LookiL1 #AIWearable
0:29

🚨BREAKING: The future of lifelogging is here. Meet Looki L1 — the world’s first multimodal AI wearable. → It sees. → It hears. → It understands your life. Looki #LookiL1 #AIWearable

Abdul Șhakoor

13,605 Aufrufe • vor 11 Monaten

Reinforcement learning is mind-blowing! Here's a reinforcement learning agent that mastered Breakout and is playing at a superhuman level (score 350+). The crazy part: We didn't write the code or the pipeline. NEO, the first autonomous AI Engineer, did it. From a prompt! It trained over 24 million steps. Evaluated itself. Iterated. Everything under 50 minutes. NEO designed the environment, the reward function, and the entire pipeline. Agentic AI is here!
0:24

Reinforcement learning is mind-blowing! Here's a reinforcement learning agent that mastered Breakout and is playing at a superhuman level (score 350+). The crazy part: We didn't write the code or the pipeline. NEO, the first autonomous AI Engineer, did it. From a prompt! It trained over 24 million steps. Evaluated itself. Iterated. Everything under 50 minutes. NEO designed the environment, the reward function, and the entire pipeline. Agentic AI is here!

Santiago

21,701 Aufrufe • vor 8 Monaten

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Army of Copilots): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, January 29th, I'm sharing one of my best AI Projects: Time Series Forecasting with AI Register here (1570+ registered):
15:38

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Army of Copilots): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, January 29th, I'm sharing one of my best AI Projects: Time Series Forecasting with AI Register here (1570+ registered):

Matt Dancho (Business Science)

242,084 Aufrufe • vor 1 Jahr

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Data Science Agents): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, May 21st, I'm sharing one of my best AI Projects: AI Customer Segmentation Agent with Python Register here (570+ registered):
15:38

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Data Science Agents): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, May 21st, I'm sharing one of my best AI Projects: AI Customer Segmentation Agent with Python Register here (570+ registered):

Matt Dancho (Business Science)

35,452 Aufrufe • vor 1 Jahr

The Future of Private Messaging is Here! Tired of messaging apps that track, store, and exploit your data? Nimbus is here to change the game. - End-to-end encryption - Localized AI—no cloud, no spying - Truly decentralized, fully private Watch the full explainer video now!
0:57

The Future of Private Messaging is Here! Tired of messaging apps that track, store, and exploit your data? Nimbus is here to change the game. - End-to-end encryption - Localized AI—no cloud, no spying - Truly decentralized, fully private Watch the full explainer video now!

Nimbus AI

32,388 Aufrufe • vor 1 Jahr

the world’s first AI boss is here build with NVIDIA ACE for MIR5, the monster uses AI to analyze the players and decide who to attack first so excited to beat AI :)
0:42

the world’s first AI boss is here build with NVIDIA ACE for MIR5, the monster uses AI to analyze the players and decide who to attack first so excited to beat AI :)

el.cine

69,524 Aufrufe • vor 1 Jahr

The Clipping era has come to and End AI is here And this is the only way a streamer and a clipper can survive
5:06

The Clipping era has come to and End AI is here And this is the only way a streamer and a clipper can survive

GG33News

39,403 Aufrufe • vor 1 Monat

Move from question to insight faster with the AI first Colab, powered by Gemini. Everything you need to accelerate your data science workflow is here. ✨ Generate code and explore data through simple prompts 🛠️ Rewrite code to fix errors on the fly 📋 Propose plans and execute end-to-end workflows Meet the new Colab →
0:46

Move from question to insight faster with the AI first Colab, powered by Gemini. Everything you need to accelerate your data science workflow is here. ✨ Generate code and explore data through simple prompts 🛠️ Rewrite code to fix errors on the fly 📋 Propose plans and execute end-to-end workflows Meet the new Colab →

Google for Developers

27,935 Aufrufe • vor 3 Monaten

My mission is to turn 1,000,000,000 people into founders. AGI is here. The hard part now is harnessing AI agents to run a whole business end-to-end, without making mistakes. It's a very hard task, and I'm working 16-hour days to make it real. Everyone is a founder.
0:50

My mission is to turn 1,000,000,000 people into founders. AGI is here. The hard part now is harnessing AI agents to run a whole business end-to-end, without making mistakes. It's a very hard task, and I'm working 16-hour days to make it real. Everyone is a founder.

Ben Cera

27,356 Aufrufe • vor 1 Monat

How the hell did end up here? My documentary on the Hunger Strike to end the AI race is finally out on YouTube.
22:42

How the hell did end up here? My documentary on the Hunger Strike to end the AI race is finally out on YouTube.

Michaël Trazzi

15,089 Aufrufe • vor 7 Monaten