Results for “context engineering”

…from responding when no relevant information is found in the context. Prompt engineering and employment of a check similar to Evaluate on each request were suggested as potential solutions. Links mentioned: OpenAI & other LLM API Pricing…

…LLM chat sessions as Agent instances. The upgrade also includes context/prompt engineering, task assignment, and memory management improvements. AtoRAG Adds RAG to Claude Desktop: AtoRAG is a lightweight RAG extension for Claude Desktop,…

…Kye's approach seemed like a marketing stunt, given the broader context of existing frameworks. Emergence of GPTSwarm platform: The GPTSwarm project aims to unify various prompt engineering techniques into a cohesive framework for LLM…

…generation, support, and scheduling with real-time memory and context. They have integrated LLMs with phone systems and CRMs for personalized voice experiences. Master of Automation & Workflow Engineering: The AI expert has constructed…

…prompting is key to unlocking its potential. Llama-3 8B model context window extension: The Llama-3 8B model can use a 1 million token context window. Extending the context from 8K to 80K tokens improves performance on long-context…

…model evals: GPT‑5.2 vs Opus 4.5 and Gemini 3, costs, and context settings GPT‑5.2 performance is mixed across public evals: On real‑work, agentic tasks, GPT‑5.2 tops GDPval‑AA, overtaking Claude Opus 4.5, but at higher cost—about $620/run …

…because it’s partially verifiable. The “conductor” model of engineering: Claims that one developer can run 5–10 agents in parallel, shipping code they don’t fully read, shifting from author to supervisor/conductor (@Yuchenj_UW). A related…

…outperforms open models with 100% accuracy on 64K context. New 7B merge models combine strengths of different bases. Coxcomb, a 7B creative writing model, scores well on benchmarks. AI Safety and Regulation Discussions: Former OpenAI board …

…highlighting a frontier-lab integration of math and kernel engineering. Additionally, discussions around long-horizon agents emphasize context management bottlenecks, introducing Recursive Language Models (RLMs) that manage context…

…cost-inefficient vs alternatives depending on workload. Context: why Sonnet 4.6 matters (engineering implications)Long-context is becoming “operational,” not just a spec.The launch pushes a 1M token window into the Sonnet tier [@claudeai]. …

…how camera angles influence storytelling. AI in Data Engineering and Analysis: @llama_index showcased PureML, which automatically cleans and refactors ML datasets using LLMs, enhancing data consistency and feature creation. @LangChainAI…

…iteration ultimately failing to remove the need for software engineering expertise. The technical context provided by commenters notes that while each technology boosted developer productivity, market dynamics have shifted: initially,…