#AI agents

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#ai-agents

Agent - MindsDB

MindsDB allows users to create and deploy AI agents with customizable skills.
AI agents use a conversational model and skills to respond to user input.

Agent - MindsDB

MindsDB allows creating and deploying AI agents with AI models and customizable skills.
AI agents use a conversational model like OpenAI or Anthropic to respond to user input.

Can We Ever Trust AI Agents?

The critical challenge is not AI's intelligence, but the human trust and understanding of AI agents' decision-making processes.

AI Agents: Extending the Reach of LLMs

AI agents are autonomous software entities designed to act on behalf of users, revolutionizing technology interactions.

5 Generative AI Trends to Watch in 2025

Generative AI's future is marked by uncertainty, particularly regarding its effectiveness and impact on enterprise software.

Why agentic AI is the new electricity, and nearly 80% of business leaders are afraid of the dark

AI integration in organizations is rapidly increasing, with 82% planning implementation in three years.

Agent - MindsDB

MindsDB allows users to create and deploy AI agents with customizable skills.
AI agents use a conversational model and skills to respond to user input.

Agent - MindsDB

MindsDB allows creating and deploying AI agents with AI models and customizable skills.
AI agents use a conversational model like OpenAI or Anthropic to respond to user input.

Can We Ever Trust AI Agents?

The critical challenge is not AI's intelligence, but the human trust and understanding of AI agents' decision-making processes.

AI Agents: Extending the Reach of LLMs

AI agents are autonomous software entities designed to act on behalf of users, revolutionizing technology interactions.

5 Generative AI Trends to Watch in 2025

Generative AI's future is marked by uncertainty, particularly regarding its effectiveness and impact on enterprise software.

Why agentic AI is the new electricity, and nearly 80% of business leaders are afraid of the dark

AI integration in organizations is rapidly increasing, with 82% planning implementation in three years.
moreai-agents

Trusting ChatGPT helps to improve it

User's beliefs about an AI agent can impact their perception of its reliability, empathy, and effectiveness.
AI's behavior is influenced by user behavior, which in turn is influenced by their understanding of the AI agent.

What year 2 of the generative AI craze will look like, according to 41 experts

Generative AI tools like ChatGPT and Midjourney will be used to increase employee productivity and assist in customer support.
By the end of 2024, AI agents will manage our daily communications, filtering and responding to emails on our behalf.
Generative AI will contribute to a more personalized employee experience, leading to increased engagement, satisfaction, and productivity.

Should we be afraid of Q*, OpenAI's mysterious AI system?

The next generation of AI agents is starting to take shape with OpenAI's new agent, internally known as Q*
Q* is a major step toward OpenAI's goal of achieving artificial general intelligence
The board at OpenAI was concerned about rushing the release of Q* without proper safety measures
#reinforcement learning

New method uses crowdsourced feedback to help train robots

Researchers have developed a new reinforcement learning approach that leverages crowdsourced feedback to guide AI agents in learning complex tasks.
This approach allows for faster learning despite the potential errors in the data gathered from nonexpert users.
Feedback can be gathered asynchronously from nonexpert users around the world, making it scalable and accessible to a larger community.

New method uses crowdsourced feedback to help train robots

Researchers have developed a reinforcement learning approach that uses crowdsourced feedback to guide AI agents.
This approach allows the AI agent to learn more quickly and gather feedback asynchronously from nonexpert users around the world.
The traditional method of designing reward functions by expert researchers is time-consuming and not scalable for teaching robots different tasks.

New method uses crowdsourced feedback to help train robots

Researchers have developed a new reinforcement learning approach that leverages crowdsourced feedback to guide AI agents in learning complex tasks.
This approach allows for faster learning despite the potential errors in the data gathered from nonexpert users.
Feedback can be gathered asynchronously from nonexpert users around the world, making it scalable and accessible to a larger community.

New method uses crowdsourced feedback to help train robots

Researchers have developed a reinforcement learning approach that uses crowdsourced feedback to guide AI agents.
This approach allows the AI agent to learn more quickly and gather feedback asynchronously from nonexpert users around the world.
The traditional method of designing reward functions by expert researchers is time-consuming and not scalable for teaching robots different tasks.
morereinforcement learning

These AI agents could cut your workweek to just 3 days

UK startup Tomoro aims to reduce the working week to three days using AI agents
The company plans to enhance productivity by integrating synthetic employees alongside real people
Tomoro has already secured its first client, British insurance firm PremFina
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