#llm — Bloq | Reklamyeri.az

Google's A2A Protocol: How AI Agents Will Talk to Each Other

A2A lets AI agents discover, delegate, and coordinate without knowing each other's internals. Here is how it works.

2 mart 202614 dəq.102

Graph Database vs Vector Database: One Finds Similar Things, the Other Finds Connected Things

Graph 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 #opinion

Llama 4 Scout's 10M Token Context Window: What You Can Actually Do With It

Meta 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 #llm

AI Agents Are the New Microservices: Everyone Wants Them, Almost Nobody Ships Them

The 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 #llm

RAG Is Not As Simple As They Tell You

RAG 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 #data-engineering #llm

Graph 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 #apple #career

Is 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 #llm #python

LangChain vs LangGraph: They Are Not the Same Thing

LangChain chains steps in a line. LangGraph builds state machines. Most comparisons miss this fundamental difference.

1 aprel 202615 dəq.9

#ai #career #llm

Agentic AI Is Not Reinforcement Learning: Why Everyone Confuses Them and Why It Matters

Agentic AI and reinforcement learning are different things. The confusion costs companies wrong hires, wrong architecture, and wrong expectations.

11 mart 202615 dəq.8

#security #ai #llm

OWASP Top 10 for LLM Applications: The Attacks Your AI App Isn't Ready For

77% of businesses had AI security incidents in 2024. The OWASP Top 10 for LLM Applications catalogs the attacks most AI apps can't defend against — and the practical defenses that actually work.

26 aprel 202617 dəq.7

#ai #llm #tools

GPT-5.4 vs Claude Opus 4.6 vs Gemini 3.1 Pro: Same Benchmarks, Different Strengths

All three score ~57 on the Intelligence Index. Claude leads coding quality, Gemini leads math, GPT leads speed. Which to use when.

4 aprel 202614 dəq.7

#ai #python #software-engineering

Testing LLM Applications Is Nothing Like Testing Regular Software — Here's What Actually Works

200 unit tests passed. The chatbot still hallucinated a dentist's phone number. LLM testing needs evals, LLM-as-judge, and regression for non-determinism.

23 aprel 202616 dəq.6