The Journey through time of AI agents. AI today can handle everything from basic tasks to assisting with medical challenges.

17 Oct 2023, 13:14
The Journey through time of AI agents AI today can handle everything from basic tasks to assisting with medical challenges. But how did it evolve? Let's think of AI like video games: they started simple and are now super complex and fun. Here’s how AI changed step by step.

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Delysium
DelysiumAGI #274
Twitter
19 Oct 2023, 08:09
How much $AGI will you spend on Oct 20th !? Drop it below to win free turns.👇
How much $AGI will you spend on Oct 20th . Drop it below to win free turns.
How much $AGI will you spend on Oct 20th !? Drop it below to win free turns.👇
Delysium
DelysiumAGI #274
Twitter
19 Oct 2023, 03:30
AI Agents simple explanation! 👇
AI Agents simple explanation.
AI Agents simple explanation! 👇
Delysium
DelysiumAGI #274
Twitter
18 Oct 2023, 13:00
twitter news 18 October 2023 13:00
Delysium
DelysiumAGI #274
Twitter
18 Oct 2023, 03:15
If you could only buy 3 coins/tokens. What would you buy?
If you could only buy 3 coins/tokens. What would you buy.
If you could only buy 3 coins/tokens. What would you buy?
Delysium
DelysiumAGI #274
Twitter
17 Oct 2023, 13:14
Hybrid Agents (Now): Today’s AI is like a multitasking genius. It uses everything it has learned to do lots of things. Example: Today's robots, that can talk to you and also understand their surroundings.
Hybrid Agents (Now):. Today's AI is like a multitasking genius. It uses everything it has learned to do lots of things.
Hybrid Agents (Now): Today’s AI is like a multitasking genius. It uses everything it has learned to do lots of things. Example: Today's robots, that can talk to you and also understand their surroundings.
Delysium
DelysiumAGI #274
Twitter
17 Oct 2023, 13:14
Deep Learning (Mid 2010s-Now): Think of this AI as an art student learning from many teachers. It gets better and better. Example: Programs that create very real-looking pictures from nothing.
Deep Learning (Mid 2010s-Now):. Think of this AI as an art student learning from many teachers. It gets better and better.
Deep Learning (Mid 2010s-Now): Think of this AI as an art student learning from many teachers. It gets better and better. Example: Programs that create very real-looking pictures from nothing.
Delysium
DelysiumAGI #274
Twitter
17 Oct 2023, 13:14
Learning Agents (2010s): AI started learning from its mistakes, just like we do. Example: AlphaGo, a program that got really good at a game called Go.
Learning Agents (2010s):. AI started learning from its mistakes, just like we do.
Learning Agents (2010s): AI started learning from its mistakes, just like we do. Example: AlphaGo, a program that got really good at a game called Go.