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Building AI agents with LLMs : harnessing the power of generative AI with autonomous agents.
The development and release of ChatGPT and other state-of-the-art large language models (LLMs) has renewed interest in the concept of AI agents, a term that evokes a range of assumptions about their potential as applications to independently automate many tasks along with the risks they present if n...
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly Media, Inc.,
[2023]
|
| Edición: | [First edition]. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
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| 245 | 0 | 0 | |a Building AI agents with LLMs : |b harnessing the power of generative AI with autonomous agents. |
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| 511 | 0 | |a Abi Aryan, Shawn "swyx" Wang, Div Garg, Kence Anderson, Yohei Nakajima, Jaya Gupta, Arjun Bansal, presenters. | |
| 520 | |a The development and release of ChatGPT and other state-of-the-art large language models (LLMs) has renewed interest in the concept of AI agents, a term that evokes a range of assumptions about their potential as applications to independently automate many tasks along with the risks they present if not constrained. In simple terms, an AI agent is an AI entity that is given a description of a task, autonomously retrieves the tools it needs to execute the task, and then executes it. In this event, our third in an ongoing series of special events on ChatGPT, LLMs, and generative AI, we©³℗Ø©²?©²?ll discuss the different types of AI agents and how the latest large AI models are making these AI agents more powerful than ever. Integrating these AI agents into your products and services presents some challenges that aren©³℗Ø©²?©²?t usually of concern for web-based ML models. These include how to design a good interface that can take user inputs, show the inferences and communicate the progress, logging costs through each step and monitoring the performance while understanding user preferences, editing plans, etc. Our experts will present some of the tools you need to create your own AI agents and show you how they can help your organization achieve higher levels of efficiency and productivity by making AI your assistant. What you©³℗Ø©²?©²?ll learn and how you can apply it: Explore the different types of AI agents and when and how to use them Understand which agents to use based on your particular use case©³℗Ø©²?©²?for example, reasoning-based agents versus sufficiency agents versus delegation agents Understand the limitations of AI agents and how to contain the scope of their work Learn about the latest tools that have been developed to help you build your own AI agent This live course is for you because: You©³℗Ø©²?©²?re curious about AI agents and how they can help your organization. You©³℗Ø©²?©²?re interested in knowing how others are using AI agents and the tools that are being developed to enable developers to create and use them. You©³℗Ø©²?©²?re interested in exploring whether to build your own agents or use proprietary services like Cognosys. Recommended follow-up: Read Designing Autonomous AI (book) Read Generative Deep Learning, second edition (book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event. | ||
| 588 | |a Online resource; title from title details screen (O'Reilly, viewed September 05, 2023). | ||
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| 700 | 1 | |a Nakajima, Yohei, |e presenter. | |
| 700 | 1 | |a Gupta, Jaya, |e presenter. | |
| 700 | 1 | |a Bansal, Arjun, |e presenter. | |
| 710 | 2 | |a O'Reilly (Firm), |e publisher. | |
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