Results for “context engineering”

…was further debated on aspects such as safety measures and context length. Anomalous behavior in Bing: @odasso. shared an unusual experience with Bing's ability on holding over query context across different conversations. The case was…

…converters (@khoomeik). Anthropic: Opus‑plan/Sonnet‑execute, 1M context, prompt caching, Humanloop Model pairing in code: “Opus plan, Sonnet execute” is now officially supported in Claude Code via /model, routing high‑level planning to Opus…

…"Sorry, I..." to "Sure..." can also be effective. Many Shot In Context Learning with 20k tokens of high-quality, curated examples significantly improves model performance. Structuring prompts with tags like <resume/>, <instruction/>, and…

…agents and MCP tasks for long-running workflows, with practical engineering patterns and integrations like Prefect. Booking.com deploys a large-scale agent system improving customer satisfaction using LangGraph, Kubernetes, GPT-4 Mini, and …

…range of production workflows, with tasks designed around how engineering and research work is actually carried out in practice. Some represent several days of work for an experienced engineer. In an ML infrastructure task, for example, the…

…are not scalable, they can still be relevant in specific contexts. The concept of the "bitter lesson" was mentioned, indicating that computation often trumps encoding knowledge, but it doesn't rule out the utility of logical rulesets.…

…Google unveiled its most capable model to date with a 1M-token context window (up to 1,048,576 input; 65,536 output), state-of-the-art multimodal reasoning, and strong agentic/vibe coding. Pricing (AI Studio): ≤200K tokens at $2M/$12M…

…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. Anthropic's Claude AI and Interpretability Research Feature alteration in Claude AI: @AnthropicAI demonstrated how altering internal "features" in their…

…raises concerns among users, particularly in science and engineering contexts, prompting discussions on the reliability and trustworthiness of AI-generated information for professional use. A user likened expecting perfection to demanding…

…reported on Salesforce's release of DEI, an open AI software engineering agents framework with a 55% resolve rate on SWE-Bench Lite. Industry and Market Trends AI Integration: @scottastevenson observed that "Traditional ML experience can…

…Merlin by 7.8–15.8 points overview, abs. Sparse attention engineering: Practical comparison of DeepSeek Sparse Attention (DSA) vs Native Sparse Attention (NSA): token‑level sparsity and attention‑score distillation drive DSA’s long‑context …

…methods. Ethics, Cognition, and Interaction in Prompt Engineering: 'The Sieve,' a three-layer ethical framework for AI, was brought into light by @darthgustav in #prompt-engineering. Further, AI's potential to cater to diverse roles was…