» Tag
llm
535 postsdata2prompt: CLI Tool Fits Data-Heavy Projects into LLM Context Windows
data2prompt CLI profiles and samples CSVs, Excel files, and SQLite databases to fit data-heavy projects into any LLM context window.
Clustering Two Dell Pro Max GB10 Systems for Local AI Compute
Two Dell Pro Max GB10 systems clustered via RDMA/RoCE for 256GB of local AI memory, revealing setup quirks and firmware pitfalls.
AI Agents in Production: Why 88% of Enterprise Pilots Fail
Why 88% of enterprise AI agent pilots stall before production, and the isolation, identity, secrets, and audit controls the successful 12% use.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comOver 30% of new arXiv papers now read as AI-written
A 12,750-paper arXiv study finds ~32% of new submissions score as AI-written, using a false-positive-calibrated detector and detailed field breakdowns.
How Compiling an AI Agent's Workflow Cut Token Use by 94%
An engineer compiled a recurring AI agent workflow into deterministic code, cutting token use 94% and latency 87% with no quality loss.
Kernel devs review two LLM-assisted memory management patch sets
Two LLM-assisted Linux kernel patch sets—1GB huge page allocation and VM memory tracking—reveal how maintainers judge AI-assisted code.
Token Drift Explained: Why AI Agents Get Slower and Pricier
A breakdown of token drift in LLM agents: why session costs grow quadratically and how context budgets keep long-running agents efficient.
Favur Evals: a public benchmark for which AI model codes best
Favur Evals is a public, vendor-independent leaderboard comparing AI models on real software engineering tasks across eight measurable dimensions.
Engineering notes: making an AI system tell the truth
How NicheIQ rebuilt its AI idea-evaluation pipeline to fix self-scoring bias, failed self-refinement loops, and reach an honest No-Go verdict.
Fine-Tuned LFM2.5 Powers a Tool-Calling Agent Entirely in the Browser
A fine-tuned LiquidAI LFM2.5 model runs a tool-calling agent fully client-side in the browser - no server, no API key, zero cloud cost.