Working with LLMs: A Few Lessons
On digging AI shaped holes
Learn AI
When to Use Cursor Rules Instead of MCPs
expert led courses for front-end web developers and teams that want to level up through straightforward and concise lessons on the most useful tools available.
Marcus Schiesser (@MarcusSchiesser)
🚀 Exciting news! AgentWorkflow from @llama_index now in TypeScript!
Build powerful AI systems with:
🔄 Multi-agent orchestration
🤝 Task handoffs between agents
⚡️ Real-time event streaming
Level up your AI development now:
$ npm i llamaindex
LlamaIndex 🦙 (@llama_index)
Learn how to build your own Deep Research agent from scratch in LlamaIndex!
In our latest workshop tutorial, we cover going from zero knowledge of LlamaIndex to a fully-fledged multi-agent system for deep research! You'll learn:
➡️ Using AgentWorkflow to create a single agent
➡️ Creating a multi-agent system using AgentWorkflow
➡️ Dropping down to Workflows for even finer-grained control
➡️ Building a multi-agent system from scratch with Workflows
Includes tool use, managing state, and common design patterns like reflection!
Check it out here:
https://colab.research.google.com/drive/1xYq4wr4dkmvOuq0Ljwt1W9fIxfR50ekq#scrollTo=OfNzCgHl08Sc
Sharing new open source protection tools and advancements in AI privacy and security
Today, we’re releasing new Llama protection tools for the open source AI community.
How to become an AI engineering company - Vercel
The question isn’t if AI will transform your business, but how to use it to maintain your competitive edge. Vercel CTO Malte Ubl shows how companies can understand AI’s fundamental shifts, adapt their skills, and integrate AI into their businesses.
Ask HN: Share your AI prompt that stumps every model | Hacker News
openai/codex: Lightweight coding agent that runs in your terminal
Lightweight coding agent that runs in your terminal - openai/codex
Claude Code Best Practices
A blog post covering tips and tricks that have proven effective for using Claude Code across various codebases, languages, and environments.
humanlayer/12-factor-agents: 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?
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
Voice AI & Voice Agents | An Illustrated Primer
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Refactoring to understand and "vibe coding"
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Improving Recommender Systems & Search in the Age of LLMs
Model architectures, data generation, training paradigms, and unified frameworks inspired by LLMs.
Fine Tuning OpenAI Models - Best Practices
Best-practices on how to fine-tune OpenAI models.Notes, links, and more resources available Here: https://parlance-labs.com/education/fine_tuning/steven.html...
Cursor AI Tutorial: Build a Full Stack App with AI in 30 Minutes | Nat E...
My guest today is Nat Eliason.Nat teaches the “Build Your Own Apps with AI” course which made $200K in just 7 days. I’m one of his 1,000+ students so natural...
Building AI Products—Part II: Task-Oriented vs. Component-Oriented Pipelines
Notes on MCP
I’ve been playing with Anthropic’s MCP for a little while now, and I have a few gripes.
I use Cursor daily - here's how I avoid the garbage parts
Tips and tricks for getting the most out of Cursor AI coding assistant while avoiding its pitfalls.
AI Blindspots
Blindspots in LLMs I’ve noticed while AI coding. Sonnet family emphasis. Maybe I will eventually suggest Cursor rules for these problems.
Building a CLI Client For Model Context Protocol Servers - Neon
Learn how to build an MCP CLI client to leverage the versatility of Anthropic's protocol without the limitations of a desktop client.
Hallucinations in code are the least dangerous form of LLM mistakes
A surprisingly common complaint I see from developers who have tried using LLMs for code is that they encountered a hallucination—usually the LLM inventing a method or even a full …
1895874957588251126#m
How I use LLMs
The example-driven, practical walkthrough of Large Language Models and their growing list of related features, as a new entry to my general audience series o...
Building A Generative AI Platform
This post outlines the common components of a generative AI platform, what they do, and implementation considerations. It'll start from the simplest architecture and progressively add more components: context construction, guardrails, router, gateway, cache, agentic workflows, orchestration, and observability.
Read these if you want to build AI applications
Join me to Master Python for AI Projects 👉 https://python-course-earlybird.framer.website/Get data science/ AI insights in your inbox 👉 https://thu-vu.ck.p...
From ML Engineering to AI Engineering
Title: From ML Engineering to AI EngineeringDate: June 27, 2024Duration: 1 HRSPEAKERChip HuyenVP of AI & OSS, Voltron DataMODERATORAlejandro SaucedoDirector ...
AI Engineering with Chip Huyen
On today’s episode of The Pragmatic Engineer, I’m joined by Chip Huyen, a computer scientist, author of the freshly published O’Reilly book AI Engineering, a...
Deep dive into LLMs like ChatGPT by Andrej Karpathy (TL;DR) | Anfal Mushtaq
A TL;DR version of Andrej Karpathy's "Deep dive into LLMs like ChatGPT" video.
Understanding Reasoning LLMs
Methods and Strategies for Building and Refining Reasoning Models