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- Fine-Tuning
- Gordon and Miller Answer Objections to Cosmic Fine-Tuning
- Fine-Tuning Agentic AI: A Practical Guide
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Gordon and Miller Answer Objections to Cosmic Fine-Tuning
Fine-tuning strongly favors theism because it predicts a life-permitting order in advance, while naturalism only retrofits explanations after the fact. Source
Fine-Tuning Agentic AI: A Practical Guide
In this article, you will learn how to fine-tune an agentic AI system holistically, covering all four critical dials: training data, parameter-efficient fine-tuning, runtime hyperp...
RAG vs. Fine-Tuning: My Take on Why Most Teams Choose Wrong
RAG versus tuning. This is a topic that comes up over and over again in AI projects. I’ve seen the same cycle play out time after time. A…Continue reading on Medium »
Nine Points, Then We Trained
What a fund-accounting hackathon (re)taught me about the smallest available fix — earning the right to finetune — and where that thread…Continue reading on Medium »
Fine-Tuning — for the Universe or for Life? A Physicist Exercises His Imagination
Teetering on the brink of science fiction is the supposition that advanced civilizations would utilize black holes for energy sources. Source
15 Fine-Tuning LLM Use Cases Across Industries
Fine-tuning large language models isn’t a one-size-fits-all exercise anymore. What started as a technique mostly discussed in AI research…Continue reading on Medium »
LLM Fine-Tuning: SFT, LoRA, QLoRA, RAG and Prompting
Large language models can perform many tasks without any additional training. They can answer questions, summarize text, generate code, classify information, and interact with tool...
Fine-tuning GPT-OSS-20B for multilingual reasoning on Amazon SageMaker HyperPod
Learn how we fine-tuned GPT-OSS-20B for multilingual reasoning on Amazon SageMaker HyperPod, and how to decide between supervised fine-tuning (SFT) and reinforcement learning with...
Fine-tune a search agent with multi-turn RL on Amazon SageMaker AI
Fine-tuning teaches a small search agent your tools and environment, giving it the reliability of a frontier model at lower latency and cost. In this post, we fine-tune an LLM-powe...
Preparing data for supervised fine-tuning Part 2: Advanced data strategies
The advanced side of supervised fine-tuning data prep. This second post in a two-part series covers evaluating data readiness with learning curves, selecting high-value data subset...
Tuning a quantum computer: what a violin teaches us about qubit calibration
Insider brief Before a violinist plays a note, they tune. Each string is tightened or loosened until it sounds exactly right, and even then, temperature and humidity will pull it o...
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