ChatGPT reveals the system prompt for ChatGPT Tasks
OpenAI just started rolling out [Scheduled tasks in ChatGPT](https://help.openai.com/en/articles/10291617-scheduled-tasks-in-chatgpt), a new feature where you can say things like "Remind me to write the tests in five minutes" and ChatGPT will …
Pydantic AI + DeepSeek V3 - The BEST AI Agent Combo
I get asked a lot what my process looks like for building AI agents, so I recently kicked off a mini series showing my entire process! In this series, we’ll build AI agent that can consume entire GitHub repositories so you can ask it questions about all the code in the repo.
In this video (3rd one in the series), I show you how to take an AI agent prototype built with n8n and turn it into a full custom coded agent EASILY with Pydantic AI. We’ll also use DeepSeek V3 for the LLM so it’s super powerful and still dirt cheap! Keep in mind that the n8n prototype is optional - this can very much be a standalone Pydantic AI guide.
The best LLM or agent framework could change in a month. I keep this guide high level (while still covering technical details) so there is a lot to get out of this even if you aren't using Pydantic AI or DeepSeek V3 for your LLM.
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Register now for the oTTomator AI Agent Hackathon with a $6,000 prize pool!
https://studio.ottomator.ai/hackathon/register
Try the n8n version of this GitHub agent now on the Live Agent Studio (Pydantic version coming soon):
https://studio.ottomator.ai
All code for this Pydantic GitHub agent can be found here:
https://github.com/coleam00/ottomator-agents/tree/main/pydantic-github-agent
And the n8n version of this agent:
https://github.com/coleam00/ottomator-agents/tree/main/n8n-github-assistant
Pydantic AI documentation:
https://ai.pydantic.dev/
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00:00 - Intro
02:04 - Where We are in the AI Agent Roadmap
04:11 - n8n Prototype - Our Blueprint
06:46 - Live Agent Studio GitHub Agent
07:24 - Pydantic AI's Beautiful Docs
10:28 - Agent Code Overview
11:23 - Building our Pydantic AI Agent
21:23 - Building the Agent Chat Tooling
25:17 - Testing our Agent
28:23 - Outro
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Join me as I push the limits of what is possible with AI. I'll be uploading videos at least two times a week - Sundays and Wednesdays at 7:00 PM CDT! Sundays and Wednesdays are for everything AI, focusing on providing insane and practical educational value. I will also post sometimes on Fridays at 7:00 PM CDT - specifically for platform showcases - sometimes sponsored, always creative in approach!
Import AI 395: AI and energy demand; distributed training via DeMo; and Phi-4
Welcome to Import AI, a newsletter about AI research. Import AI runs on lattes, ramen, and feedback from readers. If you’d like to support this, please subscribe. Subscribe now AI is driving a mass…
Kevin Roose, of Hard Fork and NYT, was so impressed with OpenAI’s rollout that he joked “of course they have to announce AGI the day my vacation starts”.
A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past …
Welcome back to the Ollama course! In this video, we dive deep into the command line interface (CLI) of Ollama, exploring all the powerful options and comman...
Building a Vision App with Ollama Structured Outputs
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...
Excerpt from a message I just posted in a #diaspora team internal f...
Excerpt from a message I just posted in a #diaspora team internal forum category. The context here is that I recently get pinged by slowness/load spikes on the diaspora* project web infrastructure (Discourse, Wiki, the project website, ...), and looking at the traffic logs makes me impressively angry.
In the last 60 days, the diaspora* web assets received 11.3 million requests. That equals to 2.19 req/s - which honestly isn't that much. I mean, it's more than your average personal blog, but nothing that my infrastructure shouldn't be able to handle.
However, here's what's grinding my fucking gears. Looking at the top user agent statistics, there are the leaders:
2.78 million requests - or 24.6% of all traffic - is coming from Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; GPTBot/1.2; +https://openai.com/gptbot).
1.69 million reuqests - 14.9% - Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/600.2.5 (KHTML, like Gecko) Version/8.0.2 Safari/600.2.5 (Amazonb...
Boris Gamazaychikov on LinkedIn: OpenAI has announced o3, which appears to be the most powerful AI model to… | 24 comments
OpenAI has announced o3, which appears to be the most powerful AI model to date. There has been some attention given to the massive dollar costs of running… | 24 comments on LinkedIn
Brandon-c-tech/RAG-logger: RAG Logger is an open-source logging tool designed specifically for Retrieval-Augmented Generation (RAG) applications. It serves as a lightweight, open-source alternative to LangSmith, focusing on RAG-specific logging needs.
RAG Logger is an open-source logging tool designed specifically for Retrieval-Augmented Generation (RAG) applications. It serves as a lightweight, open-source alternative to LangSmith, focusing on ...
Math, not artificial intelligence, powers new infinite world generator
Princeton researchers have unveiled Infinigen, a open-source tool that generates limitless photorealistic 3D scenes using pure mathematical rules – no AI or reliance on models trained on existing videos or images.
