In this video, I take a deeper dive look at the OpenAI Agents SDK and how it can be used to build a fast food agent. Colab: https://dripl.ink/MZw2R For more tutorials on using LLMs and building agents, check out my Patreon Patreon: https://www.patreon.com/SamWitteveen Twitter: https://x.com/Sam_Witteveen 🕵️ Interested in building LLM Agents? Fill out the form below Building LLM Agents Form: https://drp.li/dIMes 👨‍💻Github: https://github.com/samwit/llm-tutorials ⏱️Time Stamps: 00:00 Intro 00:11 Creating an In-N-Out Agent (Colab Demo) 00:40 In-N-Out Burger Agent 04:35 Streaming runs 05:40 Adding Tools 08:20 Websearch Tool 09:45 Agents as Tools 12:21 Giving it a Chat Memory

R1+Sonnet has set a new SOTA on the aider polyglot benchmark. At 14X less cost compared to o1.

aider is AI pair programming in your terminal. Contribute to Aider-AI/aider development by creating an account on GitHub.

There were a number of announcements at GitHub Universe that impacted VS Code and Copilot users. This is a roundup of those announcements, including the much-anticipated Copilot Edits, Intent Detection, Model Selection, and Code Reviews. We'll also take a look at some of the amazing extensions created by the VS Code team, including using images for prompts with Vision for Copilot, analyzing CSV data with Data Analysis for Copilot, and GitHub Pull Requests. 🔎 Chapters: 00:00 GitHub Universe announcements 00:30 Demo - Copilot Edits 05:30 Demo - Intent Detection 09:06 Demo - Data Analysis for Copilot 10:19 Demo - GitHub Pull Requests Copilot Integration 13:10 Happy Coding 🔗 Links: https://aka.ms/get-copilot https://aka.ms/IntroducingCopilotEdits Featuring: Rob Conery #vscode #copilot #githubcopilot

A detailed walkthrough of my current workflow for using LLms to build software, from brainstorming through planning and execution.

An implementation of a full-page handwriting recognition system using convolutional neural networks and transformers. This project tackles the complex task of recognizing handwritten text without s...

Tomorrow's editor, today. Windsurf Editor is the first AI agent-powered IDE that keeps developers in the flow. Available today on Mac, Windows, and Linux.

Learn how to build a VS Code Extension from scratch. In this fun tutorial, we integrate DeepSeek R1 direction into our editor to build a custom AI assistant. Go Deeper https://fireship.io/courses Related Content: VS Code Extension Template https://code.visualstudio.com/api/get-started/your-first-extension Ollama DeepSeek R1 https://ollama.com/library/deepseek-r1 DeepSeek R1 First Look https://youtu.be/-2k1rcRzsLA DeepSeek Fallout https://youtu.be/Nl7aCUsWykg

In this video, I look at the Ollama structured outputs and how you can use it to do various tasks, such as named entity recognition and information extractio...

The framework for programming—rather than prompting—language models.

Contribute to 2-fly-4-ai/V0-system-prompt development by creating an account on GitHub.

The thing about modern AI development - both developing things with AI and developing AI things - is that you often need to know the right magic incantations...

An AI coding engine for complex tasks. Contribute to plandex-ai/plandex development by creating an account on GitHub.

Implementing a ChatGPT-like LLM from scratch, step by step - rasbt/LLMs-from-scratch: Implementing a ChatGPT-like LLM from scratch, step by step

Colab 01. Learning LangGraph Agent Executor: https://drp.li/vL1J9 Colab 02. Learning LangGraph - Chat Executor: https://drp.li/HAz3o Colab 03. Learning LangGraph - Agent Supervisor: https://drp.li/xvEwd Interested in building LLM Agents? Fill out the form below Building LLM Agents Form: https://drp.li/dIMes Github: https://github.com/samwit/langchain-tutorials (updated) https://github.com/samwit/llm-tutorials Time Stamps: 00:00 Intro 00:19 What is LangGraph? 00:26 LangGraph Blog 01:38 StateGraph 02:16 Nodes 02:42 Edges 03:48 Compiling the Graph 05:23 Code Time 05:34 Agent with new create_open_ai 21:37 Chat Executor 27:00 Agent Supervisor

LoRA (Low-Rank Adaptation) is a popular technique to finetune LLMs more efficiently. This Studio explains how LoRA works by coding it from scratch, which is an excellent exercise for looking under the hood of an algorithm.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Stable Code, an upgrade from Stable Code Alpha 3B, specializes in code completion and outperforms predecessors in efficiency and multi-language support. It is compatible with standard laptops, including non-GPU models, and features capabilities like FIM and expanded context size. Trained in multiple

Cursor is the IDE of the future, built for pair-programming with Powerful AI.

A tiny library for coding with large language models. - srush/MiniChain: A tiny library for coding with large language models.

In this video, we will walk through the steps of building a research assistant from scratch with LangChain and LangSmith. We will cover prompting strategies,...

Please return only json, do not add any other comments ONLY RETURN JSON OR I'LL TAKE A LIFE If this was you, then you've probably been pretty happy to see OpenAI function_call get released, I'm here to show you how you can get the most out of such powerful feature. Instead of writing prompts that turn strings into strings, we can write Pydantic objects and get Pydantic objects out of OpenAI. In this talk we explore some model driven development. Where we go step by step with some examples on how to represent your problem as simple code so we can model, generate diagrams, and write prompts as code to save time and model complex data correctly, allow us to use the same best practices rather than having to invent new ones for how we manage prompts. Recorded live in San Francisco at the AI Engineer Summit 2023. See the full schedule of talks at https://ai.engineer/summit/schedule & join us at the AI Engineer World's Fair in 2024! Get your tickets today at https://ai.engineer/worlds-fair About Jason Liu Previously stitch fix and Facebook. Currently consulting startups on production using llm systems.

Contribute to danielgross/localpilot development by creating an account on GitHub.

Seamlessly integrate LLMs as Python functions. Contribute to jackmpcollins/magentic development by creating an account on GitHub.