Results for “context engineering”

…releases and include significant improvements in long context understanding, vision and math." @rohanpaul_ai summarized key improvements: "7% increase in MMLU-Pro benchmark, 20% improvement in MATH and HiddenMath, 2-7% better in vision and …

…helping humans understand their own codebases, and automatic context engineering for LLMs (research sub-agents) The vision: CodeClash as a testbed for human-AI collaboration—vary the setup (solo agent, multi-agent, human+agent), freeze…

…powerful. Theme 3. RWKV-7's Advances in Multilingual and Long Context Processing RWKV-7 0.1B (L12-D768) trained w/ ctx4k solves NIAH 16k, extrapolates to 32k+, 100% RNN (attention-free), supports 100+ languages and code (Score: 117,…

…bat. What is MCP? Justin/David [00:00:43]: Yeah, sure. So Model Context Protocol, or MCP for short, is basically something we've designed to help AI applications extend themselves or integrate with an ecosystem of plugins, basically. The…

…of specific content limits further technical insights or context regarding the DeepSeek technology. Many commenters express surprise at Trump's endorsement of DeepSeek, with several agreeing with him, which they did not expect. DeepSeek is …

…have the full talk to doubleclick into each stage and get more context!AI agents, meet Test Driven Development Historically with Test Driven Development (TDD), the thing that you're testing is predictable. You expect the same outputs given …

…plan. @eskcanta provided a general guideline for prompt engineering, emphasizing precise communication of what you want to avoid confusion or unwanted responses. Reducing Respectful Tone in ChatGPT Dialogues: @stealth2077 inquired if…

…the launch of DAIR.AI Academy, offering courses on prompt engineering and AI application development. AI Applications and Demonstrations AI Product Commercials: @mickeyxfriedman introduced AI-generated product commercials on Flair AI,…

…advisor pattern above: practitioners increasingly want shared context + automatic routing + cross-model collaboration inside one workflow rather than manual switching between terminals. Agent Harnesses, Hermes Momentum, and the “Portable…

…single images. The post lacks additional details, so further context or technical specifics about OmniHuman-1 are not provided. OmniHuman-1's Capabilities and Concerns: There is a significant discussion about OmniHuman-1's potential to…

…steps. The model significantly improves performance in long contexts and key information retrieval. Qwen2.5-Max's Strong Performance in Chatbot Arena: @Alibaba_Qwen announced that Qwen2.5-Max is now ranked #7 in the Chatbot Arena,…

…patent by Google DeepMind, potentially related to long context in Gemini, and debated QKNorm advancements (Paper 1, Paper 2). Other discussions included the MIPRO algorithm for automated prompt engineering scaling across complex tasks…