Results for “context engineering”

…revolved around the necessary knowledge and skillsets for AI engineering careers. GPT-4.5 Turbo Speculations Ignite Debate: A debated topic was a leaked mention of GPT-4.5 Turbo, speculated to have a 256k context window and a knowledge…

…in/out on details. Licensed Apache 2.0 (commercial use). Launch context via Baidu World 2025: @Baidu_Inc. Databricks ai_parse_document (public preview): A production document intelligence service to convert PDFs/reports/diagrams into…

…RL environments. Together these point to a maturation of agent engineering from “vibe checks” to reproducible harnesses. Open Models, Quantization, and Multimodal ReleasesGemma 4 QAT was the most practically important open release for local…

…errors, and subscription recognition are reported. New prompt engineering techniques like "convo-lang" for GPT models are introduced. Comparative AI model evaluations include GPT-4, Claude 2.1, and PaLM2. "Gemini has a 32k context window"…

…managing virtual software engineers. @_philschmid details the Context URL tool for Gemini, enhancing prompt context by extracting content from URLs. Agentic Systems and Local Models: @omarsar0 promotes AgenticSeek, a local alternative to…

…A high-engagement meme-like anchor tweet argues for “Agentic Engineering > Vibe Coding” and frames professionalism around repeatable workflows rather than vibes (bekacru). Several threads reinforce the same theme operationally: context…

…spring. Anthropic announced Claude for Enterprise with a 500m context window. ChatGPT was rewritten from Next.js to Remix AI2 released a 64 expert MoE version of OLMo (our coverage here) {% if medium == 'web' %} Table of Contents [TOC] {%…

…"I'm cooked": @teortaxesTex simply states "I'm cooked" without context, likely as a reaction to something overwhelming or absurd. Jewpiter: @DavidSHolz jokes that the jews should go to jupiter because the planet is in the name. AI Reddit…

…with 975B total parameters, 41B active. It supports a context window of up to 1M tokens. It was pretrained on 45 trillion tokens of text, images, audio and video. It is the first in a family of models of different sizes: alongside it we are…

…data associated with text, video, and pictures) and improved context handling capabilities. Model efficiency is expected to improve significantly. Predictions suggest 300M parameter models outperforming today's 7B models, and the…

…production-ready in 30 days. The key areas of focus are context engineering, Retrieval-Augmented Generation (RAG), and developing reliable AI agents. The user seeks advice on essential resources, habits, and potential pitfalls to prioritize…

…take that creation and verification are different engineering problems in @omarsar0 and follow-up @omarsar0. This is reinforced by real PR-review product launches and alternatives: Claude Code “Code Review”: Anthropic ships multi-agent PR…