Results for “context engineering”

…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. Claude 3.5 Sonnet Release by Anthropic Improved Performance: @AnthropicAI released Claude 3.5 Sonnet, outperforming competitor models on key evaluations…

…in Anycoder) and open-sourced Qwen3-VL with a native 256K context (expandable to 1M), stronger OCR in 32 languages, precise event localization in 2h videos, GUI operation/coding, and leading risk detection. Releases hit Hugging Face,…

…keeping models in native Hugging Face format. Inference-side engineering remains a major lever: @RisingSayak showed how KV caching is incorporated into QwenImage 2.1, separating fixed context from changing image positions and yielding a…

…parallels to the concept of More Is Different in prompt engineering contexts. Stability.ai (Stable Diffusion) Discord AI Rollout Must Be Crystal Clear: Valve's new content policy requires developers to disclose AI usage on Steam,…

…also released APIs for Qwen3-Coder and Qwen3-2507 with 1M token context length. xAI Launches Grok Imagine: Grok's image generation feature, Grok Imagine, is now live for all X Premium users on the Grok app. Meta AI Releases Open Direct Air …

…scale. Building the demo also helped the team live the context that their own downstream users, like Roboflow, would experience, and forced them to make choices accordingly. As Nikhila says: “It's a really encouraging trend for not thinking…

…and metadata. Then with our evaluation tooling, you can turn AI Engineering from an art into a science. P.S. Weave also works for multimodality - see how to fine-tune and evaluate GPT-4o on image data. {% if medium == 'web' %} Table of…

…simulate Python step-by-step, multi-turn software tasks, 131k context; competitive coding metrics (e.g., 65.7% SWE-bench Verified, 68.4% LiveCodeBench) plus strong math (96.5% Math-500, 75.8% AIME-24). Paper, code, weights: summary, paper. …

…language model, trained on 2.5T tokens with a 2048 token context length, is based on the DCLM-Baseline dataset and aims to demonstrate the impact of systematic data curation on model performance. An updated version with 8K context length…

…prior workflows may be obsolete but flag the default Wan2.2 context‑length as a practical limit, proposing a rolling‑window pipeline that seeds each segment from the last frame to stitch longer videos and rely on a driving‑video for motion …

…Their YouTubeWe discuss: swyx’s view from the center of the AI engineering zeitgeist: OpenClaw, harness engineering, context engineering, evals, observability, GPUs, multimodality, and why conference tracks now reveal what matters most in…

…its performance capabilities, but lacks specific details or context about the implementation or results. Performance Metrics and Hardware Details: DeepSeek V3 achieves around 7-9 tokens per second (t/s) on an Epyc 9374F setup with 12x32GB…