AI Research Posts

FOD#68: AI Benchmarks vs Vibe Checks: Measuring AI Progress

Is your AI strategy missing a "Safety Net"?🛡️

AI Agents Are in Production. Governance Is Not.

AI 101: What’s So Magical About Embeddings?

Embeddings turn token IDs into vectors that encode meaning as geometry. Covers core concepts, types (Word2Vec, BERT, CLIP), transformers, and RoPE.

FOD#150: Ghosts in the Distillation Pipeline

A new Nature paper just broke the foundational assumption of every AI compliance framework being drafted – plus key news, research, and reads from the past week

The Evolution of LoRA: 15+ Variants You Should Know

A complete guide to LoRA variants: QLoRA, DoRA, MoE-LoRA, and 15+ more. Trace the evolution of parameter-efficient fine-tuning for large language models.

#4:There are no AI-native enterprises

Most enterprises run AI in the business but not on it. Learn why shadow AI spreads and what real AI-native transformation actually requires.

AI 101: LLM Token Types: Input, Output, Reasoning, Cached & More

Input, output, reasoning, cached, vision — not all LLM tokens cost the same. A guide to token types and how each one shapes your AI bill.

FOD#149: Why Palantir’s Manifesto Went Viral Without Saying Anything New

What it means for the AI industry – plus key news, research, and reads from the past week

13+ Attention Mechanisms in Transformers and LLMs Explained

Self-attention, GQA, FlashAttention, MLA and more: 13+ attention types that define how transformers and LLMs process context, memory, and meaning.

🎙️"Intention is what we need": Neeru Khosla on the Future of Education and Learning with AI

Neeru Khosla, co-founder of CK-12 Foundation, on AI in education, personalized learning, Flexi AI tutor, and why intention matters more than attention.

How to govern multi-agent systems at scale?*

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AI 101: What Is a Token (and why it runs AI)?

A token is the unit an AI model reads and predicts. Learn how tokenization works (BPE, WordPiece), why context windows matter, and how tokens set API cost.