LangChain's CEO argues that better models alone won't get your AI agent to production

LangChain co-founder and CEO Harrison Chase explains why harness engineering — not just smarter models — is what gets AI agents from prototype to production.
Computer Weekly

Pathway builds truly native reasoning model to solve LLM Sudoku stumbling blocks

First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...
TechCrunch

Guide Labs debuts a new kind of interpretable LLM

The challenge of wrangling a deep learning model is often understanding why it does what it does: Whether it’s xAI’s repeated struggle sessions to fine-tune Grok’s odd politics, ChatGPT’s struggles ...
Geeky Gadgets

KittenTTS Nano : Small AI Text-to-Speech LLM Runs on CPUs Without a GPU

KittenTTS, developed by Kitten ML, is a compact and efficient text-to-speech (TTS) system designed for resource-constrained environments. As explained by Sam Witteveen, it operates seamlessly on edge ...