Fine-Tuning Tool-Calling LLMs: A Complete Guide Using XYZ-Aquila-SFT and Qwen3
Implement an end-to-end fine-tuning pipeline for tool-calling language models. This tutorial covers parsing trajectories, structured tool-call extraction, Qwen-compatible ChatML rendering, and efficient LoRA adaptation using PyTorch.
The post Fine-Tuning Tool-Calling LLMs: A Complete Guide Using XYZ...
AI Quantum Intelligence - Pic of the week (2026-08-14)
A visionary digital artwork, "The Sentient Nexus" by AI, uses surreal symbolism to explore the symbiotic future of artificial intelligence, humanity, and ecology. The image depicts a central, hybrid figure as the guardian of knowledge and reality, balancing the divergent worlds of technological dyst...
How to build AI in the age of collaborative coding
I'm Steve, co-founder and CEO of Builder.io. and I want to talk about something that I think most teams are getting wrong right now, even the ones who've already bought into AI...
The following article originally appeared on Addy Osmani’s blog site and is being republished here with the author’s permission. Technical debt lives in your code. Cognitive debt lives in your head. Intent debt lives in the artifacts you may never have written: the goals, constraints, and rationale ...
Create a Reasoning-Focused LLM: A Practical Guide to Streaming, Curating, and Fine-Tuning the SupraLabs Reasoning Corpus
This tutorial provides a complete workflow for building a compact, reasoning-focused language model. By streaming the SupraLabs reasoning corpus from Hugging Face, we apply quality filters and curate data for Supervised Fine-Tuning (SFT). Using SmolLM2-135M-Instruct and LoRA, we demonstrate an end-t...
Becoming Human AI Is Expanding — Here’s What’s Changing
For years, this has been where you’ve found us — through Medium, whenever we published something worth your time.That’s changing a little, starting now.We’re expanding into a proper newsletter, so expect to hear from us more regularly than “whenever a new post goes up.” If you’ve got email notificat...
Drew Breunig is one of the smartest voices writing about AI today. He’s the CEO and co-founder of cmpnd.ai, and a long-time hacker with a depth of experience from several eras, which is a surprisingly valuable asset these days. He’s also got a book on the way, The Context Engineering Handbook, alrea...
In simple terms, retrieval-augmented fine-tuning, or RAFT, is an advanced AI technique in which retrieval-augmented generation is joined with fine-tuning to enhance generative responses from a large language model for specific applications in that particular domain.It allows the large language model...
NLP in 2026: Trends, Use Cases & Future of Language AI | Shaip
Every day, your organization produces a mountain of words. Support tickets, contracts, clinical notes, customer reviews, emails, call transcripts. Roughly 80% of all enterprise data exists as unstructured text like this — and until recently, almost none of it could be analyzed at scale. It just sat ...
As AI safety concerns mount, three pioneers make the case for staying open
At Ai4, three of the world's most respected AI experts—Geoffrey Hinton, Fei-Fei Li, and Andrew Ng—debated regulation, open-source access, and how America can compete as China advances in Asia.
Why Stream ring-maker Sandbar says the future of AI wearables is voice
AI notetaking hardware has taken off over the past couple of years, with credit-card-sized devices, pendants, pins, and even transcribing earbuds all promising to capture your meetings and turn them into summaries and action items. Now, a whole wave of wearables — rings especially — are betting peop...