Towards AI

Transform Any LLM into a Decision Model

Stop generating labels; read decisions from the model.Continue reading on Towards AI »

[Day 28/100] LangGraph Checkpointing: Make Your Agent Survive a Restart

What a checkpoint actually stores, how to move from InMemorySaver to SQLite and Postgres, and how to rewind and fork a run when it goes…Continue reading on Towards AI »

The Secret to Getting Better AI Answers Might Be Hiding in a 1986 Aircraft Manual

How ASD-STE100, an aerospace writing standard, can improve AI prompting and make LLM responses clearer, more concise, and easier to understand.

Everyone Told Me to Learn Julia. Here’s What I Found After Looking at the Numbers.

Julia is faster than Python and almost nobody uses it for AI. I wanted to understand why, and whether you should learn it anyway.Continue reading on Towards AI »

Build a Jev-Style Decision Model from an LLM

Agentic systems make decisions all the time: which tool to call, which category a request falls into, where to route a message. Each of these is a choice from a fixed list that is known in advance. LLMs, however, are text generators.

Deploying Memory Management: Production Roadmap

A 90-day architectural blueprint for scaling from prototype to mission-critical availability.

Claude Haiku 5.5 Earned a Spot in My Real-World Workflows

Last week I was staring at my AI usage, wondering if $4 was too much to pay to complete my project. Cost-avoidance is a feature and flaw of my personality, and it’s made Anthropic a recurring thorn in my side.

Google Shrank Its Embeddings to Fit a Phone. A Day Later, Perplexity Gave Every Token Its Own.

EmbeddingGemma 2 squeezes a document into one vector as small as 128 numbers. Perplexity’s pplx-embed-v2-late stores 128 numbers for every…Continue reading on Towards AI »

What Happens Between You Hitting Enter and the First Token Appearing

Can an EEG Decoder Answer a Question it Was Never Trained on?

A language interface made new questions expressible. Answering them was a separate learning problem.

ChatGPT’s Next Evolution: 7 Changes That Could Redefine Conversational AI

The next big shift in conversational AI may not be better answers, but what happens after you ask a question.Continue reading on Towards AI »

AI Decision Models: What They Are and How They Work

Decision models are a new category of AI that specializes in making typed and calibrated decisions, rather than generating text. In this…Continue reading on Towards AI »

Building a Production-Grade Dimensional Model on Snowflake with Cortex Code using Skills

How I designed, audited, and expanded an e-commerce star schema using an AI-powered skill — and what I learned about letting the machine enforce Kimball principles.

How Did I Write My First FlashAttention Kernel in CUDA ?

From demystifying the online softmax trick to hitting a 41.6x speedup on an NVIDIA RTX 4050 GPU — a beginner’s hands-on journey into hardware-aware deep learning.

Tuning Jev as a Risk Judge: A Decision Model vs.

Tuning Jev as a Risk Judge: A Decision Model vs. Two Cost-Effective LLMs and When the Hybrid with Reasoning Makes Things Worse

How Large Language Models Actually Work — Daily AI Post

The conversation has drifted from mortgage rates to whether sourdough starters qualify as pets, when someone across the table leans forward and asks the question everyone’s been dodging for three years:

What If Enzo Ferrari Was Blamed for Something His Car Did? The AI Agent Authorization Problem

AI agents can now make decisions, call tools, change systems, and act on their own. When something goes wrong, who is actually responsible?

Now Amazon Showed up to Jev

A New System one model from Strands labsContinue reading on Towards AI »