3d ago · 10 min read · Not all fine-tuning is the same. The method you pick determines your compute bill, your results, and whether your model forgets everything it already knew. Fine-tuning is not a single button you press
Join discussion
Feb 19 · 9 min read · Predicting whether a clinical trial will succeed or fail is notoriously difficult. Even experienced pharmaceutical analysts struggle with accuracy rates much better than a coin flip. But what if we co
Join discussion
Feb 12 · 8 min read · If you trained a frontier LLM today the way we trained them in 2021—pretrain, do a little instruction tuning, ship—you’d get crushed in production. Not because the base model can’t write or reason, but because users don’t experience “capability”; the...
Join discussionFeb 11 · 11 min read · Prompt injections and their new rival Prompt injection turns “trusted inputs” (emails, web pages, retrieved docs) into an execution surface. If your agent can browse, read email, or call tools, a buried instruction can hijack actions. The dirty secre...
Join discussion
Feb 10 · 3 min read · In my journey to dive deeper into multimodal AI systems, I decided to fine-tune BLIP-2, a powerful vision-language model trained on the Flickr8k dataset to generate image captions. What made this more exciting was integrating LoRA (Low-Rank Adaptatio...
Join discussion
Feb 2 · 9 min read · This blog post guides you through the process of fine-tuning the DeepSeek Math model to solve math problems expressed using emojis. This is a fun and engaging way to explore the capabilities of large language models (LLMs) and their ability to unders...
Join discussion
Jan 26 · 1 min read · Fine-tuning promises customization. Reality often delivers disappointment. Why Fine-Tuning Breaks Down Training data is shallow Domain knowledge changes Models forget previous capabilities Drift requires retraining Each iteration increases cos...
Join discussionJan 24 · 5 min read · If you are working with NVIDIA DGX Spark (or your own rig) and trying to do anything beyond toy experimentation, you will very quickly run into challenges. 👉 Setting up your own rig? See my previous article to get started Deploying Local AI Inferen...
Join discussion
Jan 15 · 11 min read · Understanding how to properly size, price, and configure dedicated AI clusters is crucial for cost-effective deployment of custom LLMs on Oracle Cloud Infrastructure. This comprehensive guide walks you through cluster types, pricing calculations, fin...
Join discussion
