6 Battle-Tested LangGraph Techniques to Shrink 25k → 11k Context (And Save Your LLM)
24 days ago 高效码农Stop Feeding the Token Monster – 6 Battle-Tested Moves to Shrink 25k → 11k Context with LangGraph (and Keep Your LLM Sane) “The longer my prompt, the dumber my model.” If that sentence ever crossed your mind at 2 a.m. while staring at a $4 invoice for 128 k tokens, welcome home. This post is the field manual I wish I had that night. The Story That Started With “Reward Hacking” Last week my manager pinged me on Slack: “Quick task: summarize every flavor of reward hacking in RLHF. Deck due tomorrow.” I dumped 200 pages of papers into Claude-3.5 …
DeepSeek-V3.1-Terminus: Engineering-First Release for Production-Grade Agent Systems
27 days ago 高效码农TL;DR: DeepSeek-V3.1-Terminus is an engineering-focused release that improves agent reliability (Search Agent, Code Agent), reduces mixed-language/garbled outputs, and clarifies FP8/precision compatibility issues. This article translates and expands the original Hugging Face release notes into a practical, production-oriented blog post with runnable commands, clear benchmarks guidance, deployment tips, and an FAQ. Source: the model’s Hugging Face release page. Table of Contents 👉Why Terminus Matters 👉Version Background and Goals 👉What’s New — Key Improvements Explained 👉Benchmarks & How to Read Them 👉Technical Deep Dive: Agents & Search Tooling 👉Quickstart: Run the Demo Locally (copy-paste) 👉Practical Debugging & FP8 Compatibility Workflows 👉Productionization & …
AI Engineering Unlocked: Deploy Generative AI from Zero to Production in 8 Steps
3 months ago 高效码农Generative AI Engineering: From Zero to Production Generative AI is reshaping industries at breakneck pace. Once confined to academic papers and research labs, large language models (LLMs) and multimodal AI have now become practical tools you can deploy, customize, and integrate into real‑world applications. In this comprehensive guide, you’ll learn: What AI engineering really means, and how it differs from traditional machine learning Hands‑on environment setup: from installing tools to validating your first API call Core modules of an end‑to‑end Generative AI course, including chatbots, Retrieval‑Augmented Generation (RAG), AI Agents, and more Troubleshooting tips to overcome common setup hurdles By …
Mastering Large Language Models: From Zero to Deployment – A Step-by-Step Developer’s Guide
3 months ago 高效码农Hands-On Guide to Building Large Language Models: From Zero to Practical Expertise Why This Series Matters for Tech Enthusiasts For computer science graduates and tech professionals entering the AI era, practical experience with large language models (LLMs) has become essential. This comprehensive guide offers a structured pathway through 19 core projects and 3 specialized modules, complete with hands-on tutorials and code documentation. Unlike theoretical resources, this series focuses on actionable skills, covering the entire LLM development lifecycle from model fine-tuning to deployment optimization. This GitHub repository has received XXX stars and remains actively maintained. Technical Landscape of LLM Development Model …