I am a hacker, engineer, product manager, and researcher on LLMs, AI/ML, and the ethics of applied machine learning. I am a hacker, engineer, product manager, and researcher on LLMs, AI/ML, and the ...

We begin this tutorial by showing how we can combine MLE-Agent with Ollama to create a fully local, API-free machine learning workflow. We set up a reproducible environment in Google Colab, generate a ...

CLIP by OpenAI excels at connecting images with natural language, making it powerful for zero-shot image classification and retrieval tasks.

Python 3.11 introduced the Specializing Adaptive Interpreter. When the interpreter detects that some operations predictably involve the same types, those operations are “specialized.” The generic ...

Large language models (LLMs) by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get ...

Code embeddings are a transformative way to represent code snippets as dense vectors in a continuous space. These embeddings capture the semantic and functional relationships between code snippets, ...

I've noticed while upgrading our code to v2 that we had big slowdowns within our test suites. And I narrowed it down to our numerous calls to isinstance checks. Turns out that isinstance for a ...

from typing import Union def f(x : Union[int, float]): if isinstance(x, float): print("b", x) elif isinstance(x, int): print("a", x) with --warn-unreachable returns ...

If there’s one thing about Python that’s slightly disconcerting, it’s the complete lack of braces, or as they’re called in American English, suspenders. A feature of every variety of C, Java, PHP, ...