Browsing Tag
machinelearning
233 posts
Why I Chose a Fine-Tuned 7B Model Over GPT-4 for High-Volume IT Support Ticket Routing
How the “Distillation Revolution” of 2026 is shifting the enterprise focus from parameter count to parameter efficiency. The…
Building AI Companions That Feel Real: A Technical Deep Dive
If you have ever tried to build a chatbot that maintains personality across hundreds of messages, you know…
Structured Income Research Template for AI and Product Ideas
When you ask an AI or a researcher whether an idea can make money, the worst answers are…
Why Data is Important for LLM
I had always thought that I could just feed any data into AI and expect a good output.…
Understanding Seq2Seq Neural Networks – Part 5: Decoding the Context Vector
In the previous article, we stopped at the concept of the context vector. In this article, we will…
Observable file systems for agents
Browser-based agent file system explorer (with macOS 10 skin) For local agent development, a simulated shell environment provides…
Building a Self-Healing Data Pipeline with AWS Step Functions, Bedrock, and Glue Data Quality
How to build an intelligent data pipeline that detects anomalies and automatically remediates issues using generative AI Data…
Understanding Seq2Seq Neural Networks – Part 2: Embeddings for Sequence Inputs
In the previous article, we just began with the concept of the sequence to sequence problem, and dealing…
Nerq AI Agent Ecosystem Weekly Report – Week Ending 2026-03-10
Nerq AI Agent Ecosystem Weekly Report – Week Ending 2026-03-10 One-Paragraph Summary This week, Nerq continued to expand…
Models that deliberately withhold or distort information despite knowing the truth.
Many discussions about AI focus on errors and hallucinations. A related but distinct concern is models that deliberately…
