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Pietro Schirano Profile picture
@skirano
Mar 13, 2023 • 12 tweets • 4 min read • Read on X
Scrolly
I used #DALLE2exp and Bing AI to create Instagram posts for a fictional estate in Costa Rica.

In order to achieve a consistent look, I instructed Bing first and then added some personal touches.

You have to see them to believe them.📸🌴

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More from @skirano

Pietro Schirano Profile picture
Sep 30
o1-engineer is here! 🚀
A coding assistant built from the ground up to leverage o1 reasoning capabilities.

It can create and edit multiple files or entire folders,
plan complex projects, execute them, and write code reviews.

All from your terminal 👨‍💻
💬 You can chat regularly or execute commands:
/create to create files or folders
/edit to edit file, files, or folder content
/add to add files or folders to the chat context
/planning to create detailed plans
/review to create code reviews that you can use directly
Repo here. Star the repo so you can keep track of updates and improvements. ⭐️
github.com/Doriandarko/o1…
Read 6 tweets
Pietro Schirano Profile picture
Sep 15
Here are some o1 prompt techniques I’ve discovered that have worked well for me so far and can likely be applied to any reasoning LLMs.

1. Be explicit about the reasoning chain
By requesting a detailed breakdown, you encourage the model to organize thoughts methodically.Image
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2. Guide decision-making with hypothetical scenarios
Providing specific criteria guides the model through a structured analysis, yielding a more nuanced response.Image
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3. Facilitate multi-step problem solving (especially for coding)
Breaking down the problem encourages the model to think through each step, reducing errors and enhancing clarity.Image
Image
Read 6 tweets
Pietro Schirano Profile picture
Sep 3
I'm excited to share that I've been partnering with the @AnthropicAI team to build a beautiful, fully customizable customer support AI agent with RAG.

Using Claude, NextJS, ShadcnUI, and AWS Knowledge Bases.

The entire repo is available on GitHub via the Anthropic Cookbook. ✨
It's a great starter app for anyone to really take advantage of Claude's capabilities.

You can see Claude thinking in real-time, as well as the mood of the user interacting, if any documentation has been used, and even the category to which the customer problem is connected.
You can also see what knowledge Claude has used to answer a question based on the documents in your AWS knowledge bases.
Read 8 tweets
Pietro Schirano Profile picture
Jul 26
So many of you have asked, and now it's here 🗣️

Introducing Ollama-Engineer. 🦙

Experience the power of my original agentic coding assistant locally and completely free via @ollama on supported models.

Llama 3.1, Mistral Nemo, and more.
Repo
github.com/Doriandarko/cl…
A few important notes:
1) Goes without saying this won't be nearly as capable as Claude Engineer, but the fact that we can now create a local agentic coding assistant is nothing less than extraordinary.

See this more as an experiment rather than a proper release. 🧪
Read 4 tweets
Pietro Schirano Profile picture
Jul 15
Introducing Claude Engineer 2.0, with agents! 🚀

Biggest update yet with the addition of a code editor and code execution agents, and dynamic editing.

When editing files (especially large ones), Engineer will direct a coding agent, and the agent will provide changes in batches.

Batches are smartly selected based on file complexity.

The code execution agent will run the code and check for issues.

It can even start processes (like live servers) and end them.

It's insanely powerful! 🔥
You can now save your chat by typing "save chat," and it will create an markdown file of the entire conversation.

This is perfect if you are looking to resume a conversation another time just by providing this context.

You can also reset chats. Image
You can also see the inputs and outputs token for each model/agent used, and the full total amount for the chat, as well as the cost. Image
Read 7 tweets
Pietro Schirano Profile picture
Mar 18
Claude Opus's ability to orchestrate subagents is absolutely insane and deserves more attention.

Watch Claude direct subagents to build an entire drawing app. 🧙‍♂️

If you like, I could share this code, which can basically solve any goals you present, step by step.

Like Devin!
This is the full output saved as a text file, it's fascinating to see how Claude thinks.

The whole process took exactly 13 minutes and 20 seconds.

pastebin.com/F4tMW8nQ
Claude Opus breaks down the task into subtasks, then deploys instances of Haiku to solve each task. Once these tasks are solved, the output goes back to Opus for review. Pretty incredible.

When I tried to build things like this with GPT4, it was very hard for the model to know when to "stop."
Read 4 tweets

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