Large Language Models (LLMs) excel at understanding messy, real-world data, but integrating them into production systems remains challenging. Prompts can be unruly to write, vary by model and can be difficult to manage in the large context of a pipeline. In this session, we'll demonstrate incorporating LLMs into a geospatial conflation pipeline, using DSPy. We'll discuss how DSPy works under the covers and highlight the benefits it provides pipeline creators and managers. Talk By: Drew Breunig, Data Science Leader & Strategist, Overture Maps Foundation Databricks Named a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms: https://www.databricks.com/blog/databricks-named-leader-2025-gartner-magic-quadrant-data-science-and-machine-learning Build and deploy quality AI agent systems: https://www.databricks.com/product/artificial-intelligence See all the product announcements from Data + AI Summit: https://www.databricks.com/events/dataaisummit-2025-announcements Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

A focused macOS editor for turning specs into software—with Claude Code built in.

A talk about what I have learned about programming with agents over the last few months.

A pragmatic take on AI coding with practical insights

Current recommendations of agentic coding.

Contribute to NomenAK/SuperClaude development by creating an account on GitHub.

A quick tip on how I use repo2txt and Google AI Studio to understand new codebases. Gemini's 1M token context window is perfect for asking questions about code.

This guide is intended to help you provide better context for GitHub Copilot when working on programming-related tasks. Use this template to define your goals, preferences, and any specific guideli...

The original promise of personal computing was a new kind of clay. Instead, we got appliances: built far away, sealed, unchangeable. In this essay, we envision malleable software: tools that users can reshape with minimal friction to suit their unique needs.

Your open source AI agent, automating engineering tasks seamlessly.

Field-tested practices for productive AI-assisted development. Real lessons from 6 months of daily AI pair programming, including what works, what fails, and why most engineers are doing it wrong.

c/ua is the Docker Container for Computer-Use AI Agents. - trycua/cua

🎬 Ever wondered how AI could turn your life into a documentary? Watch as I create a seemingly professional documentary about myself in minutes using Gemma 3, Ollama, and ElevenLabs - no film crew needed! 🎯 In this video, you'll learn: • How to use Gemma 3's multimodal capabilities with multiple images • Building a simple CLI app with Deno/TypeScript for image processing • Working with n8n workflows for AI integration • Creating convincing AI-generated narratives with Ollama • Complete workflow from capture to final video production ⏱️ Timestamps: 00:00 - Start 00:28 - I'm in a Documentary 01:56 - Gemma3 02:13 - Whats new in Gemma3 with Ollama 02:26 - Tell a story with many images 03:54 - Creating the app with Windsurf 04:49 - It's not in x language 05:19 - Let's look at the code 08:32 - The backend in n8n 🛠️ Tools & Resources Mentioned: • Gemma 3 27b • Ollama (https://ollama.com) • ElevenLabs (https://try.elevenlabs.io/tvlst) • n8n • Deno/TypeScript Want to create your own AI-powered content? Drop a comment below with your ideas or questions! #AIContent #TechTutorial #AIDocumentary My Links 🔗 👉🏻 Subscribe (free): https://www.youtube.com/technovangelist 👉🏻 Join and Support: https://www.youtube.com/channel/UCHaF9kM2wn8C3CLRwLkC2GQ/join 👉🏻 Newsletter: https://technovangelist.substack.com/subscribe 👉🏻 Twitter: https://www.twitter.com/technovangelist 👉🏻 Discord: https://discord.gg/uS4gJMCRH2 👉🏻 Patreon: https://patreon.com/technovangelist 👉🏻 Instagram: https://www.instagram.com/technovangelist/ 👉🏻 Threads: https://www.threads.net/@technovangelist?xmt=AQGzoMzVWwEq8qrkEGV8xEpbZ1FIcTl8Dhx9VpF1bkSBQp4 👉🏻 LinkedIn: https://www.linkedin.com/in/technovangelist/ 👉🏻 All Source Code: https://github.com/technovangelist/videoprojects Want to sponsor this channel? Let me know what your plans are here: https://www.technovangelist.com/sponsor

Is GitHub Copilot the best AI-assistant for Data Scientists?

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers? - humanlayer/12-factor-agents

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...