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... 15:59
How to Build an Agent with the OpenAI Agents SDK

Sam Witteveen

1+ months ago 3K views

OpenAI's latest agent SDK offers an upgraded framework, replacing the Swarm SDK. This video entails building an In-N-Out Burger Chatbot that retrieves menu information, processes requests asynchronously, and executes synchronous and streamable runs using the agent's SDK. Key features discussed include agent and runner classes for assembling and executing agents respectively, processing requests for menu items with accurate price calculations, and incorporating web search and tools for enhanced functionality. The video also explores memory capabilities for improved conversation handling between users and the chatbot.
03:56 - 03:56

Tax calculation demonstrated, showcasing accurate financial computations.

OpenAI Chatbots Education
... 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
... 16:19
AgenticSeek - Manus-like AI with Deepseek R1 Agents - Install Locally with Ollama

Fahd Mirza

1+ months ago 2K views

The installation of the Agentic Seek tool locally demonstrates its functionality as an autonomous agent inspired by the Menace project. This software performs web searching, coding, and file manipulation without any API reliance, maintaining privacy and allowing local execution. Utilizing large language models, specifically the 70 billion parameter Deep C Car 1 model, enhances the performance of autonomous tasks. The video emphasizes optimizing Agentic Seek's configuration for effective operations and showcases interactions with the system that exemplify its capabilities in coding and web browsing.
02:01 - 02:11

Discussion on using the 70 billion Deep C Car 1 model for the task.

AgenticSeek Voice Recognition Tech & Hardware
... 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
... 13:47
Using Agentic AI to create smarter solutions with multiple LLMs (step-by-step process)

Don Woodlock

1+ months ago 2K views

Agentic AI represents a significant trend in AI development, focusing on enhancing workflows by using multiple AI agents. Each agent performs a specific task, such as drafting a marketing plan, providing critiques, or sourcing data. This compound approach, rather than relying on a single large language model (LLM), improves outcomes by allowing for more robust feedback and reflection. Effective orchestration of these agents can lead to higher quality deliverables, demonstrating how AI can be utilized in more dynamic and effective ways across various organizational processes.
04:07 - 05:19

Using a compound of multiple LLMs leads to improved quality in drafting and feedback.

Natural Language Processing (NLP) AI Trends
... 14:16
The Ultimate Guide to Agentic AI: What You Need to Know

Cloud Computing Insider

1+ months ago 3K views

Agentic AI represents a transformative shift in artificial intelligence, emphasizing autonomous intelligent agents that learn and adapt in real-time. These systems outperform traditional AI by acting and reasoning independently, applying to various industries such as healthcare and logistics. As agentic AI reshapes operational paradigms, its implementation on public cloud platforms offers flexibility and rapid deployment but comes with security and cost considerations. Ultimately, the integration of agentic AI calls for responsible governance to address ethical challenges associated with autonomous decision-making.
03:51 - 04:21

Ethical and security challenges necessitate governance in deploying agentic AI responsibly.

AI cloud services Research & Innovations
... 41:14
Building Intelligent AI Agents with Open Source LLMs | smolagents

Adam Lucek

1+ months ago 2K views

Small Agents, developed by Hugging Face, is a lightweight library designed for open-source language models. It emphasizes agentic capabilities, enabling language models to engage directly with workflows using code agents, which enhance interaction with their environment through function execution. This approach overcomes limitations of traditional JSON-based invocation, allowing for advanced reasoning and multi-step problem-solving. The library incorporates tools for executing actions, observes outputs, and adapts responses, thus facilitating complex tasks. The video covers setup, theoretical foundations, practical applications, advanced features, and integrations within the Hugging Face ecosystem.
02:47 - 03:11

Overview of different levels of agency in language model outputs.

Natural Language Processing (NLP) Education
... 41:14
Building Intelligent AI Agents with Open Source LLMs | smolagents

Adam Lucek

1+ months ago 2K views

Small Agents, developed by Hugging Face, is a lightweight library designed for open-source language models. It emphasizes agentic capabilities, enabling language models to engage directly with workflows using code agents, which enhance interaction with their environment through function execution. This approach overcomes limitations of traditional JSON-based invocation, allowing for advanced reasoning and multi-step problem-solving. The library incorporates tools for executing actions, observes outputs, and adapts responses, thus facilitating complex tasks. The video covers setup, theoretical foundations, practical applications, advanced features, and integrations within the Hugging Face ecosystem.
02:47 - 03:11

Overview of different levels of agency in language model outputs.

Natural Language Processing (NLP) Education