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Beyond Pretty Videos: 5 Surprising Ideas Behind PAN, The AI That Simulates Reali...
PAN is a new AI model that uses language to predict the future. It uses a Large Language Model (LLM) as its "autoregressive world...
How Google’s GenAI Toolbox Makes LLM-Database Integration Actually Usable
Most teams agree on the same painful truth: connecting an LLM to a production SQL database is way harder than it should be. Goog...
The Pragmatic Guide to Federated AI: Building Compliant LLM/XGBoost Pipelines fo...
Federated Pipelines for XGBoost and TabNet are a way to federate data models. They can be made practical with the right abstractio...
You Don't Have a Prompt Problem. You Have a Context Problem.
Most AI failures aren't model failures, they're context failures. LLMs are powerful but fundamentally blind to decisions, relation...
Building AxonerAI: A Rust Framework for Agentic Systems
AxonerAI is a Rust-based agentic framework with blazing fast speed which comes with the below features: standalone binaries (4.0MB...
Prompt Engineering Will Always Matter (Just Not How You Think)
LLMs aren’t killing prompt engineering; they’re making it deeper. The real game is context engineering: structuring goals, constra...
AI's Paradoxical Path to New Math: To Find Better Answers, It Needs Less Data an...
Researchers have developed a new way of using artificial intelligence to solve problems. The system, called AlphaEvolve, is able t...
The Complete Developer’s Guide to GraphRAG, LightRAG, and AgenticRAG
RAG has evolved far beyond “search + generate.” Modern systems—GraphRAG, LightRAG, and AgenticRAG—each target a different pain poi...
AI's Trillion-Dollar Infrastructure Bet: What Leaders Need to Know
Tech giants have committed nearly half a trillion dollars to infrastructure for AI. But the path to value capture remains unclear.
Your AI Has Amnesia: A New Paradigm Called 'Nested Learning' Could Be the Cure
Google Research has introduced "Nested Learning," a new, brain-inspired paradigm that fundamentally rethinks how AI models are bui...
Cross-Model Validation: MIVPG's Efficacy on Encoder-Decoder vs. Decoder-Only LLM...
MIVPG's CSA module remains effective when switching from FLAN-T5-XL to the OPT-2.7b LLM architecture.
Future MLLMs: Contribution of MIL-Based Techniques and Enriched Visual Signals
This paper concludes that MIVPG is a general, powerful component for fusing enriched visual representations in MLLMs.
