Помощь
Добавить в избранное
Музыка Dj Mixes Альбомы Видеоклипы Топ Радио Радиостанции Видео приколы Flash-игры
Музыка пользователей Моя музыка Личный кабинет Моя страница Поиск Пользователи Форум Форум

   Сообщения за день
Вернуться   Bisound.com - Музыкальный портал > Программы, музыкальный soft

Ответ
 
Опции темы
  #1  
Старый 06.12.2025, 23:55
jitexsubtra jitexsubtra на форуме
Активный пользователь
 
Регистрация: 03.12.2025
Сообщений: 1,095
По умолчанию Build An Ai Agent From Scratch, V2


Build An Ai Agent From Scratch, V2
Released 12/2025
By Scott Moss
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 10 Lessons ( 9h 20m ) | Size: 1.71 GB
Two days building a general-purpose agent from first principles-tool calls, loops, memory, evals, and guardrails.
Key Takeaways
By participating along with us in the workshop, you'll learn
Understand the core primitives of an agent: models, tools, history, memory, and orchestration
Implement a tool-calling loop with conversation-style messages instead of relying on a framework
Plug in filesystem tools, 3rd-party tools (web search, code execution, browser handoff), and other SDKs with minimal extra code
Manage context windows with summarization and retrieval so your agent can use local files and search results without blowing the token limit
Design and run evals that cover both single-step decisions and full multi-step runs
Add guardrails and human approvals around risky tools like shell commands or bulk edits
Treat agents as composable building blocks that can be called as tools or wired into other systems
Is This Workshop for Me?
Frontend/full-stack devs who want to build tool-using agents in TS, teams exploring agents for ops/CRM workflows, or any engineers curious about ChatKit-style UIs and chat-embedded forms.
Workshop Details
You'll build a generic agent that can orchestrate tools on your machine like reading and transforming files, calling 3rd-party tools like web search and code execution, and handing results off to a local browser. The focus is creating an agent with a loop that maintains conversation history, uses tool calling to select tools and arguments, updates messages based on tool results, and decides when to stop. Along the way, you'll learn how to manage context with summarization and retrieval, layer in evals to catch failures, and add guardrails and human-in-the-loop checks for sensitive actions. By the end, you'll have an agent you can keep extending with new tools, protocols, and interfaces.
Any Prerequisites?
Comfortable with TypeScript and Node.js.
Able to run a local server, manage env vars, and use Git branches.
An LLM API key (OpenAI-compatible).

Ответить с цитированием
Ответ



Ваши права в разделе
Вы не можете создавать темы
Вы не можете отвечать на сообщения
Вы не можете прикреплять файлы
Вы не можете редактировать сообщения

BB коды Вкл.
Смайлы Вкл.
[IMG] код Вкл.
HTML код Выкл.
Быстрый переход


Музыка Dj mixes Альбомы Видеоклипы Каталог файлов Радио Видео приколы Flash-игры
Все права защищены © 2007-2025 Bisound.com Rambler's Top100