Results for “context engineering”

…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 …

…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 …

…21B active parameters, 192 experts / top-8 routing, GQA, 256K context, and a 3.8B MTP layer for speculative decoding. Multiple posts framed it as competitive with much larger systems on reasoning, coding, and agentic tasks, with particular …

…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…

…Molmos, etc.) and reproducible AI for science (@allen_ai). Context from @natolambert: this single line item is ~20% of NSF’s 2026 AI budget; NVIDIA is contributing leading hardware. Reflections from @HannaHajishirzi. Cohere raises $500M;…

…Enthusiasm: darthgustav. supports the idea that a good prompt engineering plan works well every time, implying a consistent strategy for successful AI interactions. Improving Contextual Understanding: @ArianJ is facing issues with the AI…

…noting it gave models only ~20 lines of code plus custom context, whereas real vulnerability discovery requires cross-file reasoning. @gneubig reframed the problem: software already has millions of known unfixed vulnerabilities, and coding …

…and suggested disabling web protection in VPN settings. GPT-4 Context and Captcha Challenges: @orbart and @blckreaper are frustrated with ChatGPT's reduced memory for narrative work, suspecting a decrease in tokens processed, while…

…efficient fine-tuning of Qwen3 models with up to 8x longer context length than previous FlashAttention 2 setups on a 24GB GPU, with Qwen3-30B-A3B fitting in 17.5GB VRAM. They provide 4-bit quantized instruct models (safetensors) from 1.7B…