Someone squeezed a 28.9M LLM onto an ESP32-S3, and so can you
Someone squeezed a 28.9M LLM onto an ESP32-S3, and so can you XDA
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Someone squeezed a 28.9M LLM onto an ESP32-S3, and so can you XDA
Perplexity released new documentation guiding users to migrate from their previous Sonar chat completions API to the current Agent API.
Introspection co-founder Roland Gavrilescu explains autoresearch, agent “recipes,” self-improving loops, and why humans remain central to the software factory.
Nimbus builds production AI systems combining humans and AI end-to-end. From scoped pilot to production in 4 to 8 weeks.
Talk to Nimbus →Cursor's Pauline Brunet explains how her team of Forward Deployed Engineers help organizations implement agents — essentially setting up software factories.
Perplexity published a guide demonstrating how its internal teams use its 'Computer' AI agent to automate workflows across various departments, including recruiting, design, and growth marketing.
Your broken harness is actively making the model worse. Here's what I keep seeing after years of eyeballing trajectories, and what you need to fix.
See how Wasmer used Codex with GPT-5.5 to build a Node.js runtime for the edge, accelerating development 10x to 20x and shipping in weeks instead of months.
How Together served MiniMax-M3 efficiently with KV-block-major sparse attention, paged MSA decode, optimized index scoring, and a Rust-based multimodal gateway.
HTTP requests are inexpensive. Vercel charges ~$2/million, a fraction of a cent per call. But a single prompt to an agent on a frontier model can cost $2, making AI a million times more expensive, and inference theft…
xAI’s docs explain how to use Grok Build (TUI, headless, or via Agent Client Protocol) and note that the same model powers Grok Build on the API as grok-build-0.1 (early access), with an example /v1/responses request.
A guide on building advanced agentic AI systems featuring planning, tool calling, memory, and self-critique using the OpenAI API.
From Gemma 4 to DeepSeek V4, How New Open-Weight LLMs Are Reducing Long-Context Costs
Tutorial on building a hybrid-memory autonomous agent with modular architecture, tool dispatch, and OpenAI integration, demonstrating progressive scenarios and runtime extensibility.
Article explains knowledge distillation techniques for compressing ensemble intelligence into single LLMs, covering various methods and applications.
Tutorial on implementing Memori for agent-native memory in LLM apps, supporting persistent multi-user sessions, streaming, and async calls with isolated user contexts.
How OpenAI runs Codex securely with sandboxing, approvals, network policies, and agent-native telemetry to support safe and compliant coding agent adoption.
DeepSeek-V4 makes million-token context a serving-systems problem. Together AI explores the inference work behind V4 on NVIDIA HGX B200, including compressed KV layouts, prefix caching, kernel maturity, and endpoint…
MarkTechPost provides a tutorial for building a Groq-powered agentic research workflow using LangGraph, tool calling, and sub-agents, leveraging Groq’s OpenAI-compatible inference endpoint.