LLM articles

511 articles about LLM, newest first.

• Zapier Next Gen Zaps: Combining Deterministic and Agentic AI — Learn how Zapier Next Gen Zaps solve AI reliability and token waste by mixing 'hardened' deterministic automation with probabilistic agentic decision-making.
• Rebuilding Food Systems: Automating Pasture Rotation with AI Agents — Cody Menefee explains how to use LLMs, Firecrawl, and GPS collars to automate rotational grazing and move livestock from feedlots back to pastures.
• Automating AI Video Production Using Claude and Higgsfield MCP — Learn how to use a stage-gated workflow to connect Claude to Higgsfield via MCP, enabling automated story development, character consistency, and 4K video generation.
• Needle: The Tiny, On-Device LLM for Private Automation — Learn how Cactus Compute's Needle brings ultra-small 8–29 MB LLMs directly to hardware like robot vacuums and smartwatches for private, reliable automation.
• Mastering Claude Fable 5.1 with Advanced Prompt Engineering — Learn why lazy prompting fails with Claude Fable 5.1 and how to use an iterative interview technique to prevent costly errors and rate limit exhaustion.
• Instinct vs GrokBot vs Muse: Which AI Agent Actually Works? — A head-to-head comparison of Instinct, GrokBot, and Muse AI agents, testing real-world tasks like Airbnb searches, browser control, and agent coordination.
• Automating Outbound Sales with GrokBot Voice AI Agents — Learn how GrokBot uses voice AI to qualify E2 visa leads and book meetings, generating $16,000 in revenue within its first two weeks of operation.
• Beyond Prompting: Paul Bakaus on Harness Engineering — Move past 'AI slop' by mastering harness engineering. Learn Paul Bakaus's techniques for adversarial sub-agents, inverted judges, and model-specific builds.
• How Peter Yang's /fuck-cancer AI Skill Supports Patient Advocacy — Learn how Peter Yang's open-source AI tool /fuck-cancer uses LLMs and trusted medical data to help families manage the logistical chaos of cancer treatment.
• State of Thought: Replacing Chain-of-Thought with AI Proprioception — Learn how State of Thought (SoT) uses a tiny 582-parameter controller to reduce AI token usage by 60% while improving reasoning accuracy and efficiency.
• Meet Jev: The AI Classifier That Replaces Expensive LLM Calls — Discover Jev, the new general-purpose classifier from TypeSafe that delivers high-speed, low-cost decision-making for software without the overhead of text generation.
• Understanding Jev: A New Paradigm for Python AI Developers — Learn how TypeSafe's Jev (System One) model introduces a specialized classification paradigm that is up to 25x cheaper and faster than Claude Haiku.
• Building God's Eye View with AI Coding Agents — Learn how God's Eye View uses AI coding agents to create a global tracking system for planes and ships using plain English instead of manual coding.
• JEV by TypeSafe AI: Steerable RAG Reranking at Lower Cost — Learn how JEV from TypeSafe AI enables steerable reranking in RAG pipelines, boosting accuracy from 21% to 54% while slashing costs compared to LLMs.
• Building with Jev: TypeSafe's High-Speed Decision AI — Learn how Jev from TypeSafe replaces token-based LLMs with a probability-based architecture to enable real-time, zero-hallucination business automation.
• Structured Output for Browser LLMs with Transformers.js 4.3 — Learn how Transformers.js 4.3 uses the new structured-output package to enforce JSON Schema and regex constraints on LLM token generation in the browser.
• Scaling AI Inference: Why Orchestration is the New Frontier — Meta engineers Nishant Gupta and Naman Ahuja explain why AI inference is moving from simple model serving to complex, distributed orchestration at scale.
• Building Custom AI Agents with the Hermes Agent Harness — Learn how to build personalized AI agents like Tacobot and Lifebot using the Hermes agent harness to automate workflows and track personal productivity.
• How OpenAI Routes LLM Inference at Scale — Learn how OpenAI evolved its inference load balancer from a proportional controller to a global optimizer to minimize latency and protect KV cache locality.
• Wiki Foundation Model: Solving RAG Bottlenecks with Neural Graphs — Learn how the Wiki Foundation Model (WFM) evolves RAG by replacing sparse knowledge graphs with trainable neural graphs to enable complex multi-hop reasoning.
• Union Alpha: The Stealth Model Challenging Frontier AI — Discover how the stealth Union Alpha model uses sparse attention and a lightweight architecture to outperform giants like Claude Opus 5 in coding tasks.
• DeepSeek V4.1 Flash: Engram and Selective Layer Architecture — Explore how DeepSeek V4.1 Flash uses Engram for recurrent memory and CED/CSA2 to slash KV cache and compute costs for faster, efficient inference.
• Modular AI Skills: How Vercel and Anthropic are Upgrading Agents — Explore the top 10 AI skills from GitHub, including tools from Vercel and Anthropic that transform LLMs from simple chatbots into specialized agents.
• Building Complex AI Systems with LangChain Deep Agents — Learn how LangChain's Deep Agents harness provides a secure, portable framework for building complex AI agents with sandboxing and human-in-the-loop gating.
• Exa and the Rise of the Agentic Web Search Engine — Learn how Exa is building a programmatic search engine designed for AI agents rather than humans, solving the retrieval problem for the next era of AI.
• How MCP Apps and the Agentic Web are Replacing Browser Tabs — Explore how Liad Yosef and the MCP Apps spec are transforming the web from human-centric dashboards to agent-ready interfaces for the AI era.
• The Hidden Cost of Poor AI Performance in Apple's Siri — Explore why bad AI performance leads to user abandonment and how Apple must rebuild trust to keep Siri relevant in the age of LLMs.
• Engineering Voice-First AI: How Tolan Solves Latency and Context — Learn how Tolan, a voice-first AI companion, manages 4 million hours of conversation by optimizing latency, turn detection, and dynamic context reassembly.
• Building AI Agents with LangChain: Deep Agents and Agent Builder — Learn how to build AI agents using LangChain's Deep Agents for developers and Agent Builder for no-code users, plus how to monitor them with LangSmith.
• Securing AI Agents: PostHog's Battle with Prompt Injection — Learn how PostHog's Sarah Sanders audited the 'Wizard' agent, discovering how prompt injections can turn helpful AI tools into dangerous malware.

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