AI Helped Me Build RAG. I Still Couldn’t Debug It.
What retrieval failures taught me and why I built a small Python exercise that fails on purpose.Continue reading on Towards AI »
Towards AI1 min read
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Vector Search Is Not Enough: The Blueprint of GraphRAG
Vector Search Is Not Enough: The Blueprint of GraphRAG Vector search tells you what is similar; GraphRAG tells you how it is connected. Retrieval-Augmented Generation (RAG) has emerged as an …
Towards AI11 min read
One Brain, Every Touchpoint: Building Adaptive, Multi-Channel Agentforce Architectures
One Brain, Every Touchpoint: Building Adaptive, Multi-Channel Agentforce Architectures The true value of Salesforce Agentforce isn’t just launching an AI chatbot on a website — it’s channel …
Towards AI7 min read
Stop Waiting for Spark: Enabling High Concurrency Mode in Fabric Notebooks
Stop Waiting for Spark: Enabling High Concurrency Mode in Fabric Notebooks As we scale our enterprise analytics, we constantly seek ways to optimize our data engineering workflows. We build elegant …
Towards AI8 min read
Deepseek-v3 : Deepseek MOE Architecture — Part 2
This is the full series of Deepseek-V3 technical report, where i explain all the technical details in simpler words with code…Continue reading on Towards AI »
Towards AI1 min read
I Revealed the AI Authors. One Report Gained 20% More Influence.
I Revealed the AI Authors. One Report Gained 20% More Influence. The same report went from 35% to 42% of the decision. Then rearranging the evidence exposed a bigger problem. I held a report’s text …
Towards AI11 min read
Why AI Safety Needs Register Robustness
Why AI Safety Needs Register Robustness The Language Problem AI Evaluation Is Missing An AI assistant should adapt to how people speak without changing its standards for accuracy, uncertainty, or …
Towards AI9 min read
Muon: The Orthogonalized Optimizer Explained Through Equations, Intuition, Code and Results
Muon: The Orthogonalized Optimizer Explained Through Equations, Intuition, Code and Infographic From SGD, to Adam’s per-coordinate scaling, to the five Newton–Schulz steps that turn a gradient …
Towards AI18 min read
Generative AI for Recommendations: what YouTube, Netflix and Meta are Moving to, Built From Scratch
Generative AI for Recommendations: what YouTube, Netflix and Meta are Moving to, Built From Scratch A build log on real Amazon data: Semantic IDs, a small Transformer that writes the next item, and a …
Towards AI19 min read
Claude Code Caveman Eval: Two Sentences Took the Median Cut From 14.6% to 50.6%
Claude Code Caveman Eval: Two Sentences Took the Median Cut From 14.6% to 50.6% I recounted the repo’s own eval snapshots: the jump came from two added sentences, v3.1.0 still ships the core …
Towards AI1 min read
GPT-6.1 Sol Shipped. Most AI Frameworks Still Don’t Know It.
12 hours after GPT-6.1 Sol launched, 3 of 10 AI libraries knew it. LlamaIndex raises ValueError; LangChain returns an empty profile. Probe inside.
Towards AI8 min read
Claude Code Tool Search Nearly Halves Your Context Bill
Claude Code 2.1.285 with 65 MCP tools: tool search cut the first request from 27,184 to 9,722 tokens and a full task by 46%. Off by default behind a proxy.
Towards AI9 min read
Build an Art Recommender from scratch with CLIP and ChromaDB
Build an Art Recommender from scratch with CLIP and ChromaDB Part I: Collecting the data A couple of years ago, as I was taking my first steps in the data science world, I had an idea and decided to …
Towards AI9 min read
An AI Agent Workflow That Survives kill -9: Inside Microsoft Agent Framework’s Latest Update
A reproducible crash test, then AG-UI, Foundry memory, and Hyperlight CodeAct in .NET and Python, with the one guarantee each feature…Continue reading on Towards AI »
Towards AI1 min read
Why Vector Search Fails at Multi-Hop Reasoning: Building an Auditable GraphRAG Engine with Neo4j…
Learn why vector RAG fails at multi-hop reasoning and how combining Neo4j Knowledge Graphs with Gemini creates auditable enterprise AI.
Towards AI6 min read
10 Best Runpod Alternatives in 2026 for Training, Inference, and GPU Compute
Compare the Runpod alternatives for GPU pricing, availability, serverless inference, storage, and reliability.Continue reading on Towards AI »
Towards AI1 min readThe Hamster Paradox
Imagine a hamster in its wheel. It runs faster and faster, 30% faster, then 50%. If we measure its performance in revolutions per minute, every indicator is green. Yet it has not travelled a single metre.
Towards AI11 min readMulti-tenancy != Distributed System: The Common Pitfall of AI and Software Engineering Practices
Two ideas get welded together in a lot of engineering rooms, and the weld is wrong. Someone says “we’re going multi-tenant,” and within a…Continue reading on Towards AI »
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