How to Build Traceable and Evaluated LLM Workflows Using Promptflow, Prompty, and OpenAI
(WORK_DIR / “judge.prompty”).write_text(“””— name: Judge model: api: chat configuration: type: openai connection: open_ai_connection model: gpt-4o-mini parameters: temperature: 0 max_tokens: 150 response_format: {type: json_object} inputs: question: {type: string} answer: {type: string}…
OpenAI Releases Privacy Filter: A 1.5B-Parameter Open-Source PII Redaction Model with 50M Active Parameters
OpenAI just quietly dropped something worth paying close attention to. Released on Hugging Face under an Apache 2.0 license, Privacy Filter is an open, bidirectional token-classification model purpose-built for detecting…
Top 10 Physical AI Models Powering Real-World Robots in 2026
Top 10 Physical AI Models The gap between language model capabilities and robotic deployment has been narrowing considerably over the past 18 months. A new class of foundation models —…
How to Build a Lightweight Vision-Language-Action-Inspired Embodied Agent with Latent World Modeling and Model Predictive Control
import random, numpy as np, torch, torch.nn as nn, torch.nn.functional as F import matplotlib.pyplot as plt from dataclasses import dataclass from typing import Tuple, Dict, List from torch.utils.data import Dataset,…
Meet Talkie-1930: A 13B Open-Weight LLM Trained on Pre-1931 English Text for Historical Reasoning and Generalization Research
What if a language model had never heard of the internet, smartphones, or even World War II? That’s not a hypothetical — it’s exactly what a team of researchers led…
OpenMOSS Releases MOSS-Audio: An Open-Source Foundation Model for Speech, Sound, Music, and Time-Aware Audio Reasoning
Understanding what’s happening in an audio clip is a deceptively hard problem. Transcribing spoken words is the easy part. A truly capable system also needs to recognize who is speaking,…
Build a Reinforcement Learning Powered Agent that Learns to Retrieve Relevant Long-Term Memories for Accurate LLM Question Answering
@dataclass class MemoryItem: memory_id: int topic: str entity: str slot: str value: str text: str def build_memory_bank() -> List[MemoryItem]: entities = [ { “entity”: “Astra”, “topic”: “robotics”, “facts”: { “battery”:…
Meta AI Releases Sapiens2: A High-Resolution Human-Centric Vision Model for Pose, Segmentation, Normals, Pointmap, and Albedo
If you’ve ever watched a motion capture system struggle with a person’s fingers, or seen a segmentation model fail to distinguish teeth from gums, you already understand why human-centric computer…
How to Build a Fully Searchable AI Knowledge Base with OpenKB, OpenRouter, and Llama
DOCS = { “transformer_architecture.md”: textwrap.dedent(“””\ # Transformer Architecture ## Overview The Transformer is a deep learning architecture introduced in “Attention Is All You Need” (Vaswani et al., 2017). It replaced…
The LoRA Assumption That Breaks in Production
LoRA is widely used for fine-tuning large models because it’s efficient, but it quietly assumes that all updates to a model are similar. In reality, they’re not. When you fine-tune…









