flash on Nostr: ⚡️What the latest #Google report reveals about generative AI agents 💥 ...
⚡️What the latest #Google report reveals about generative AI agents 💥
Published in September, Google's report on generative AI agents has recently resurfaced. 🌊
Although it doesn't directly mention #crypto, investors in this ecosystem would do well to consider this narrative, which could transform many sectors. 👀
🤖 What is a generative AI agent?
An agent is much more than just an AI model.
It is an autonomous intelligence that:
▫️ Uses external tools to access real-time information (APIs, databases, etc.).
▫️ Plans and executes actions autonomously.
▫️ Continuously adapts based on the results obtained or user feedback.
👉 Concrete example: An agent can analyze complex data, execute transactions, or even manage multi-step processes like booking a trip or optimizing a portfolio.
🔑 The tools that make it all possible
AI agents are equipped with tools that allow them to interact with the outside world.
Here are their superpowers 🦸♂️:
1⃣ Extensions: Connect the agent to APIs to retrieve data or execute specific actions.
2⃣ Functions: Provide precise control to automate specific tasks.
3⃣ Data Stores: Allow access to structured or unstructured databases (PDFs, CSVs, etc.).
💡 In summary: These tools transform agents into true digital Swiss Army knives.
🧠 A revolutionary cognitive architecture
Agents do not just follow instructions: they reason and act like real artificial brains.
Here’s how they function:
1⃣ Information Gathering
2⃣ Internal Reasoning
3⃣ Execution: They use their tools
4⃣ Adjustment
👉 Imagine an assistant that learns and improves at each step to achieve your goals, without you having to lift a finger.
💡 Advanced reasoning techniques
To solve complex problems, agents use ultra-powerful frameworks:
▫️ ReAct (Reasoning and Acting): Combines reasoning and action for informed decisions.
▫️ Chain-of-Thought (CoT): Reasons step-by-step to solve complex tasks.
▫️ Tree-of-Thoughts (ToT): Explores multiple scenarios to choose the best solution.
🎯 Result: Smarter, faster decisions tailored to each situation.
🚀 Concrete applications: Why it's revolutionary?
Generative AI agents are not just futuristic concepts: they are already in action across various fields.
Here are some examples that showcase their incredible potential:
▫️ Automation of complex tasks
▫️ Augmented analysis
▫️ Rapid prototyping
🌍 A future full of promise
In short: Generative AI agents are not just a trend but a revolution that will transform the way we work, interact, and create.
Published in September, Google's report on generative AI agents has recently resurfaced. 🌊
Although it doesn't directly mention #crypto, investors in this ecosystem would do well to consider this narrative, which could transform many sectors. 👀
🤖 What is a generative AI agent?
An agent is much more than just an AI model.
It is an autonomous intelligence that:
▫️ Uses external tools to access real-time information (APIs, databases, etc.).
▫️ Plans and executes actions autonomously.
▫️ Continuously adapts based on the results obtained or user feedback.
👉 Concrete example: An agent can analyze complex data, execute transactions, or even manage multi-step processes like booking a trip or optimizing a portfolio.
🔑 The tools that make it all possible
AI agents are equipped with tools that allow them to interact with the outside world.
Here are their superpowers 🦸♂️:
1⃣ Extensions: Connect the agent to APIs to retrieve data or execute specific actions.
2⃣ Functions: Provide precise control to automate specific tasks.
3⃣ Data Stores: Allow access to structured or unstructured databases (PDFs, CSVs, etc.).
💡 In summary: These tools transform agents into true digital Swiss Army knives.
🧠 A revolutionary cognitive architecture
Agents do not just follow instructions: they reason and act like real artificial brains.
Here’s how they function:
1⃣ Information Gathering
2⃣ Internal Reasoning
3⃣ Execution: They use their tools
4⃣ Adjustment
👉 Imagine an assistant that learns and improves at each step to achieve your goals, without you having to lift a finger.
💡 Advanced reasoning techniques
To solve complex problems, agents use ultra-powerful frameworks:
▫️ ReAct (Reasoning and Acting): Combines reasoning and action for informed decisions.
▫️ Chain-of-Thought (CoT): Reasons step-by-step to solve complex tasks.
▫️ Tree-of-Thoughts (ToT): Explores multiple scenarios to choose the best solution.
🎯 Result: Smarter, faster decisions tailored to each situation.
🚀 Concrete applications: Why it's revolutionary?
Generative AI agents are not just futuristic concepts: they are already in action across various fields.
Here are some examples that showcase their incredible potential:
▫️ Automation of complex tasks
▫️ Augmented analysis
▫️ Rapid prototyping
🌍 A future full of promise
In short: Generative AI agents are not just a trend but a revolution that will transform the way we work, interact, and create.