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... 11:1
AI Engineer - Super AI Agent In God Mode!

Kingy AI

1+ months ago 13K views

AI engineer functionality in Chat LLM Teams allows users to create custom AI agents quickly. By leveraging state-of-the-art large language models, users can design AI assistants that specialize in specific domains such as skincare or quantum computing, ensuring robust responses while limiting out-of-scope information. The tool ensures transparency in the agent’s planning and execution process, providing step-by-step insight into the actions being taken. Users can upload their own data for tailored responses, enhancing AI relevance and accuracy while reducing common mistakes like hallucinations.
02:11 - 03:05

Creating a skincare-focused AI agent named Dermabot with defined restrictions.

Abacus.AI Natural Language Processing (NLP) AI Trends
... 5:32
What Are AI Agents Really About?

ByteByteGo

1+ months ago 4K views

AI agents represent a significant advancement in software development by functioning as intelligent assistants that monitor their environment, make decisions based on set goals, and learn from feedback. Unlike traditional programming that follows strict execution paths, AI agents leverage autonomy and memory to tackle complex tasks. They operate on a continuum from recommendation systems to fully autonomous agents capable of executing decisions. The integration of large language models enhances their reasoning, while modular architectures enable interactions with existing systems. Understanding these agents allows us to move towards systems that can learn and adapt to dynamic conditions.
02:11 - 02:20

Large language models enhance AI agents with natural language understanding and problem-solving.

Machine Learning Education
... 16:47
What are AI Agents? The Ultimate Guide

Augmented U

1+ months ago 2K views

AI agents are systems designed to autonomously perform tasks on behalf of users by utilizing tools and workflows. They embody evolving intelligence, capable of reasoning and adapting based on past experiences while being powered by large language models. These components enable agents to plan, execute, and learn, resulting in increased productivity and efficiency. Recent advancements in AI, particularly in large language models, have made AI agents more powerful, allowing them to take on complex tasks. Concrete examples include research assistants and email automation tools, demonstrating the practical implications and potential of AI agents in real-world applications.
06:50 - 07:47

Agent orchestration and collaboration among multiple AI agents for shared goals.

Autonomous Systems Research & Innovations
... 5:39
New! A Free GUI That Makes OpenAI Agents 10x Better!

J. Gravelle

1+ months ago 1K views

OpenAI has released a new SDK for their agents, allowing users to easily create both single-purpose and cooperative agents without extensive coding. This interface, which runs in a local browser, offers features like access to built-in and custom-made tools. Users can create agents, set specific tasks like web searching for weather information, and configure various options such as guarding settings to secure agent behavior. The interface is designed for ease of interaction and even includes testing screens to validate agent functions.
03:41 - 04:01

Agents can easily be tested and refined through an interactive interface.

OpenAI Chatbots Tech & Hardware
... 12:21
NEW OpenAI AI Agents SDK – Multi-Agent AI Made Simple

Better Stack

1+ months ago 1K views

OpenAI has launched a new Agents SDK in Python, offering streamlined creation of AI agents with features such as tool use, handoffs, and guardrails. With built-in tracing for visualization and debugging, the open-source SDK supports flexibility across multiple providers without vendor lock-in. The speaker demonstrates the simplicity of creating agents that connect with external APIs, such as weather and flight information, using handoff logic to effectively manage user requests. Additional functionalities include local context management and tools integration for enhanced interaction capabilities, making this SDK a powerful resource for AI development.
02:50 - 03:05

Explained the use of handoffs to manage user requests between agents.

OpenAI Machine Learning Tech & Hardware
... 8:27
100% Local OpenAI Agents with Ollama in 8 mins!

Mervin Praison

1+ months ago 4K views

OpenAI Agents SDK enables the creation of AI agents entirely offline and privately, using the Llama 3.2 model and the OLLAMA framework. This video tutorial guides on building a research agent for internet searches, integrating a custom internet search tool, and running multiple agents seamlessly. Steps include setting up the environment, coding the agent functionality, and building a user interface for interaction. The final product is a news assistant capable of fetching and presenting news articles based on user queries in real-time, while maintaining local server functionality and privacy.
06:08 - 06:23

Execution of multi-agent workflow to provide formatted current news.

Ollama Natural Language Processing (NLP) Education
... 22:24
Agents SDK from OpenAI! | Full Tutorial

James Briggs

1+ months ago 2K views

A deep dive into OpenAI's Agents SDK, showcasing its capabilities such as tool use, input and output guardrails, and a transparent handling of agent frameworks. The SDK is presented as a production-ready upgrade from the previous Swarm library, offering better tool usage and interaction between agents. Various methods for running agents, including synchronous and asynchronous streaming, are explored, emphasizing performance and user experience. The discussion includes implementing guardrails to ensure safe responses and enables agents to handle complex interactions effectively. The framework is deemed suitable for creating scalable AI applications, despite some limitations.
04:00 - 04:14

Discussion on synchronous vs. asynchronous running methods for agent performance.

OpenAI Machine Learning Education
... 12:9
Testing OpenAI's NEW Agents SDK! (Local Test & Install)

Bijan Bowen

1+ months ago 2K views

2025 is labeled the year of agents, prompting an exploration of the OpenAI Agents SDK, a new open-source framework to enable multi-agent workflows. The SDK promises compatibility with any model providing the OpenAI Chat Completions API format, facilitating flexible workflows without vendor lock-in. A demonstration includes setting up the SDK, running examples like a customer service agent, and viewing interactions through a trace dashboard. Notably, users can utilize various LLM providers, and tools like the computer tool extend functionality, allowing agents to control systems and automate tasks effectively.
02:56 - 03:17

Demonstration of a customer service AI for flight seat booking queries.

OpenAI Machine Learning Tech & Hardware
... 12:9
Testing OpenAI's NEW Agents SDK! (Local Test & Install)

Bijan Bowen

1+ months ago 2K views

2025 is labeled the year of agents, prompting an exploration of the OpenAI Agents SDK, a new open-source framework to enable multi-agent workflows. The SDK promises compatibility with any model providing the OpenAI Chat Completions API format, facilitating flexible workflows without vendor lock-in. A demonstration includes setting up the SDK, running examples like a customer service agent, and viewing interactions through a trace dashboard. Notably, users can utilize various LLM providers, and tools like the computer tool extend functionality, allowing agents to control systems and automate tasks effectively.
02:56 - 03:17

Demonstration of a customer service AI for flight seat booking queries.

OpenAI Machine Learning Tech & Hardware