LLMs & Models Articles
Browse 527 articles about LLMs & Models.
What Is the Nemotron 3 Super? Nvidia's Open-Weight Model for Local AI Agents
Nemotron 3 Super is Nvidia's 120B open-weight model that runs locally, ranks top among open models, and powers NemoClaw enterprise agent deployments.
Does a 1M Token Context Window Replace RAG? What the Claude Benchmark Data Shows
Claude's 1M token window achieves 90% retrieval accuracy, but RAG is still necessary. Here's when to use each approach and why latency still matters.
Claude 1M Token Context Window: What It Means for AI Agents and Long-Running Tasks
Claude Opus 4.6 and Sonnet 4.6 now support 1M token context with 90% retrieval accuracy. Here's what that means for agents, RAG, and document workflows.
What Is Flat-Rate Long-Context Pricing? How Anthropic Changed the Economics of RAG
Anthropic now charges flat pricing for Claude's 1M token context window. Learn how this changes the cost math for RAG, agents, and long-document workflows.
What Is NemoClaw? How Nvidia Is Making AI Agents Enterprise-Ready
NemoClaw wraps OpenClaw with enterprise security, privacy routing, and local Nemotron models. Here's what it means for deploying AI agents at scale.
Gemini Embedding 2 and the End of Stitched-Together Embeddings
Why Gemini Embedding 2 matters: a primer on embeddings and how a unified vector space replaces the brittle stitching of separate text, image, and audio models.
What Is Nvidia Nemotron 3 Super? The 120B Open-Weight Model You Can Fine-Tune
Nvidia's Nemotron 3 Super is a 120B parameter open-weight model available on Perplexity, Open Router, and Hugging Face. Here's what makes it worth knowing.
What Is the Ecosystem Strategy Behind Claude, ChatGPT, and Gemini Feature Releases?
AI labs aren't just building better models—they're building sticky ecosystems. Learn why each feature release is part of a larger platform lock-in strategy.
Gemini Embedding 2 vs Qwen3 VL Embeddings: Which Multimodal Model Should You Use?
Compare Gemini Embedding 2 and Qwen3 VL embeddings across supported modalities, embedding dimensions, API access, and real-world search use cases.
What Is Matryoshka Representation Learning in Gemini Embedding 2?
Gemini Embedding 2 supports flexible embedding sizes from 3,072 down to 768 dimensions. Learn how Matryoshka learning works and when to use smaller embeddings.
What Is Gemini Embedding 2? The First Natively Multimodal Embedding Model
Gemini Embedding 2 maps text, images, video, audio, and PDFs into one shared vector space. Learn how it simplifies multimodal search and RAG pipelines.
What Is Nvidia Nemotron 3 Super? The 120B Open-Weight Model Explained
Nvidia Nemotron 3 Super is a 120 billion parameter open-weight model you can fine-tune and run locally. Here's what it can do and where to access it.
How to Build Agent Chat Rooms: Multi-Agent Debate for Better AI Outputs
Agent chat rooms let multiple AI agents with different personas debate a problem, producing sharper, more nuanced answers than parallel solo queries.
Best AI Models for Agentic Workflows in 2026
Compare GPT-5.4, Claude Opus 4.6, and Gemini 3.1 Pro for agentic use cases including computer use, long-running tasks, tool calling, and automation.
GPT-5.4 vs Claude Opus 4.6: Which AI Model Is Right for Your Workflow?
Compare GPT-5.4 and Claude Opus 4.6 on coding, writing, agentic tasks, and document processing to choose the best model for your use case.
GPT-5.4 vs Gemini 3.1 Pro: Which Model Wins for Agentic AI Workflows?
GPT-5.4 and Gemini 3.1 Pro take different approaches to agentic AI. Compare their strengths across tool use, speed, cost, and real-world tasks.
How to Switch from ChatGPT to Claude Without Losing Your Context
Claude now lets you import ChatGPT memories and preferences directly. Here's a step-by-step guide to migrating your AI workflow from OpenAI to Claude.
What Is Gemini 3.1 Flash Lite? Google's Fastest, Cheapest AI Model
Gemini 3.1 Flash Lite is Google's fastest and most cost-efficient model yet. Learn what it's designed for and when to use it in your AI workflows.
What Is GPT-5.4? OpenAI's New Flagship Model Explained
GPT-5.4 brings native computer use, 1M token context, and tool search to OpenAI's flagship model. Here's what it means for AI workflows and agents.
What Is Qwen 3.5? Alibaba's Open-Weight Model That Runs on Your Phone
Qwen 3.5 is a small open-weight model from Alibaba that runs locally on iPhones and older laptops. Learn what it can do and when to use it.