#ai#llm#a2aGoogle's A2A Protocol: How AI Agents Will Talk to Each OtherA2A lets AI agents discover, delegate, and coordinate without knowing each other's internals. Here is how it works.2 mart 202614 dəq.102
#ai#career#mlML Engineer Roadmap 2026: What Actually Gets You HiredA realistic month-by-month roadmap with salary data, skill requirements, and what most guides get wrong.30 mart 202615 dəq.55
#ai#data-engineering#llmGraph Database vs Vector Database: One Finds Similar Things, the Other Finds Connected ThingsGraph databases find connections. Vector databases find similarities. When to use which, real benchmarks, and why PostgreSQL might replace both.23 yanvar 202615 dəq.40
#ai#llm#opinionLlama 4 Scout's 10M Token Context Window: What You Can Actually Do With ItMeta shipped 10M-token context. The model scores 15.6% at 128K tokens. Here's what actually works and what doesn't.4 aprel 202615 dəq.22
#ai#data-engineering#llmAI Agents Are the New Microservices: Everyone Wants Them, Almost Nobody Ships ThemThe market says $200B by 2034. The data says 95% of agent projects fail before production. Here is what actually works.7 mart 202613 dəq.16
#ai#data-engineering#llmRAG Is Not As Simple As They Tell YouRAG tutorials teach the easy 20%. Here are the five production problems they skip — and how to actually solve them.15 yanvar 202617 dəq.15
#ai#database#postgresqlVector Databases Are Overhyped — When You Actually Need OneMost teams don't need Pinecone. pgvector benchmarks, decision framework, and when dedicated vector DBs actually make sense.27 iyun 202520 dəq.13
#ai#data-engineering#llmGraph RAG: The $7 Knowledge Graph That Beats Standard RAG by 2x (Sometimes)When Graph RAG doubles retrieval accuracy and when it wastes your money. Benchmarks, costs, frameworks, and a decision framework.3 mart 202616 dəq.11
#ai#career#mlAI Engineer vs ML Engineer: The Job Title That Costs You $50K If You Pick WrongThey sound similar but the day-to-day, salary ceiling, and career trajectory are completely different. Here is how to choose.27 fevral 202611 dəq.11
#ai#apple#careerIs Apple Losing the AI Race? Or Playing a Game Nobody Else Understands?Apple spends $14B on AI while competitors spend $650B. Is it losing or playing a smarter game? The data tells a complicated story.20 mart 202615 dəq.10
#ai#ipo#startupsOpenAI, Anthropic, Databricks: The Largest AI IPO Wave in History Is ComingOpenAI at $852B. Anthropic at $380B. Databricks at $134B. Over $1.3T in private valuations heading for public markets. Bubble or boom?4 aprel 202616 dəq.9
#ai#llm#pythonLangChain vs LangGraph: They Are Not the Same ThingLangChain chains steps in a line. LangGraph builds state machines. Most comparisons miss this fundamental difference.1 aprel 202615 dəq.9