Browsing: Structured

In my latest post on structured outputs, the three main approaches for getting machine-readable responses from an LLM. Those are JSON Mode, Function Calling, and OpenAI’s…

Most reinforcement learning benchmarks reset the world after every episode. Real operations never reset. Skyfall AI’s MORPHEUS targets that gap. It is a persistent enterprise simulation…

import importlib.util, os, shutil as _sh if importlib.util.find_spec(“tunix”) is None: print(“Installing Tunix + JAX ecosystem — this takes ~5-8 min…”) %pip install -q ipywidgets tensorboardX transformers…

Most enterprise data still sits inside PDFs, scans, and slide decks. Large language models and agents cannot use that data until it becomes structured JSON. Open-source…

def render_pdf(d, path): “””Draw a realistic 3-page report. Page breaks are forced so the headline metric on page 1 (abstract) is physically separated from the results…

Today, Mistral AI released OCR 4, its latest document-understanding model. This new release adds bounding boxes, block classification, and inline confidence scores alongside extracted text. It…

Datalab has released lift, a 9B open-weights vision model for structured extraction. You pass it a JSON schema, and it returns a JSON object that matches.…

, we’ve talked a lot about popular techniques for optimizing the performance and cost of AI applications, like response streaming or prompt caching. Today, I want…

explanations begin with prediction. A churn model estimates whether a customer is likely to leave. A fraud model estimates whether a transaction is suspicious. A diagnosis…

def make_problems(n, seed=0): rng = random.Random(seed) out = [] for _ in range(n): t = rng.choice([“discount”, “travel”, “wallet”, “chain”]) if t == “discount”: unit = rng.choice([40,…