Four Decision Models Shipped in Three Weeks. Choose Wisely.
Four typed-decision models launched in three weeks: Jev, Clef, Strands Decider, and OpenAI's Decisions API. Here's a sourced framework for picking one...
Towards AI8 min read
Artificial intelligence
108 stories
How to Build Reliable RAG Systems?
A RAG demo takes an afternoon. A RAG system that gives correct answers on the thousandth query, from messy documents, for users who ask…Continue reading on Towards AI »
Towards AI1 min read
Jev vs Clef vs OpenAI Decisions API: I Tested Six Decision APIs on 700 Items
Three tasks were a near-tie. Images, 77-label routing and bad input were not.Continue reading on Towards AI »
Towards AI1 min read
AI Data Infrastructure: Building a Governed Foundation for Enterprise AI
Trustworthy AI depends on data, not just models. Discover our data-first approach to AI infrastructure, governance, and retrieval for enterprises.
Towards AI12 min read
Microsoft’s Maia 300 Reveals Why the Next AI Infrastructure Race Is About Memory, Not Just Compute
Microsoft’s Maia 300 Reveals Why the Next AI Infrastructure Race Is About Memory, Not Just Compute Microsoft’s new 288GB HBM4 accelerator promises 18 TB/s of memory bandwidth and a 96-chip …
Towards AI1 min read
Microsoft-Decision-1: Stop Parsing “Confidence: 0.8”
A 9B model that returns calibrated probabilities instead of prose, with code you can run today.Continue reading on Towards AI »
Towards AI1 min read
LLM Observability in Production: Metrics, Logs, Traces
Token-level metrics, tiered logs, and OTel traces joined by a single trace_id.Continue reading on Towards AI »
Towards AI1 min readNVIDIA Researchers Argue Your AI Agent Is Overpaying 10–30x.
A position paper says small language models should run most agent calls.Continue reading on Towards AI »
Towards AI1 min readTAI #226: The AI Model Race Needs Better Tests
Also, Meta’s Muse Wonder, Claude Haiku 5.5, OpenAI’s Ultrafast tier, Mistral Large 4, Reflection Beam, and new rivals to Jev.
Towards AI17 min readThe Two Things That Got Me Through Both Claude Certs (and It Wasn’t Memorizing Docs)
I passed the Claude Certified Architect — Professional and Claude Certified Developer — Foundations exams. The score came down to…Continue reading on Towards AI »
Towards AI1 min readAdvanced RAG Chunking: Hierarchical, Semantic, and Contextual Retrieval
Part 5 of the Production RAG Series — Small-to-Big Retrieval, Bounded Semantic Splitting, Breadcrumbs, and Anthropic’s Contextual Retrieval.
Towards AI12 min readMean Squared Error (MSE): The Loss Function That Makes Big Mistakes Expensive
Loss Functions Deep Dive — Part 4 of 30Continue reading on Towards AI »
Towards AI1 min readAzure Document Intelligence or Content Understanding? Route by Document Type
Both services share one OCR and layout layer and split at field extraction. Here’s how that split maps to forms, contracts, RAG…Continue reading on Towards AI »
Towards AI1 min readWhat Is Jev? What the Tests Show and Who Should Try It
A new model called Jev is built for this kind of job. You give it the ticket and the possible answers, and it returns a choice with a probability, nothing else. A startup called TypeSafe AI released it on September 15.
Towards AI10 min readTransform Any LLM into a Decision Model
Stop generating labels; read decisions from the model.Continue reading on Towards AI »
Towards AI1 min readThe 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.
Towards AI7 min readBuild 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.
Towards AI24 min readGoogle 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 »
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