Liquid AI has released a 350-million parameter model that outperforms models twice its size, proving that smart architecture can matter more than raw scale. There is an assumption in generative AI ...
In this tutorial, we build a workflow using Outlines to generate structured and type-safe outputs from language models. We work with typed constraints like Literal, int, and bool, and design prompt ...
I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven enterprise solutions that integrate LLM. I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven ...
What if you could turn chaotic, unstructured text into clean, actionable data in seconds? Better Stack walks through how Google’s Lang Extract, an open source Python library, achieves just that by ...
Some of the most important battles in tech are the ones nobody talks about. One of them? The war against unstructured text chaos. If you’ve ever tried to extract clean, usable data from a pile of ...
A Coding Guide to Building a Brain-Inspired Hierarchical Reasoning AI Agent with Hugging Face Models
In this tutorial, we set out to recreate the spirit of the Hierarchical Reasoning Model (HRM) using a free Hugging Face model that runs locally. We walk through the design of a lightweight yet ...
Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...
jonq is not a database. It is a readable jq frontend for exploring, extracting, and reshaping JSON. If you need joins, window functions, or large-scale analytics, shape the JSON with jonq first and ...
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