Results for “context engineering”

…RAG applications using LangChain and MongoDB. Software Engineering and ML Engineering Software Development Practices: @scottastevenson critiqued the evolution of software engineering, highlighting issues like the lack of distinction between…

…spaces for models as a training mechanism, especially in the context of hypernetworks, defining it as an input space search. Suggestions included feature engineering and reparameterization, with a link to riemann-nn shared as a potentially …

…plausible: agents perform better on narrower tasks with smaller context, and parallel VMs make decomposition economically attractive. This pairs with an increasing emphasis on loop engineering as a first-class discipline, visible in Omar…

…Contrastingly, GPT-4o was praised for better real-world context understanding when compared to GPT-4 in some prompt engineering cases. Navigating GPT-4o's Access and Features: Users expressed confusion around the access and rollout phases…

…and layout reasoning for graphic design @jzw1365297. Agentic Context Engineering released an official implementation for evolving agent context @omarsar0. Other notable OSS: VLQM‑1.5B‑Coder (English→Manim animation code) fine‑tuned locally …

…anniversary of Vibe Coding, and Andrej has nominated Agentic Engineering as the new meta of the year, even as METR anoints GPT 5.2 High as the new 6.6 hour human task model, beating Opus 4.5, and sama announces 1m MAU of Codex. AI Twitter…

…Mistral Mechanics Mapped: Confusion about system prompts in the context of character cards was clarified by discussing different prompt assemblies across various models and offering guidance to new LLM users on grasping model internals…

…controllable agents and unified docs, emphasizing "Agent Engineering." Meta introduced PyTorch Monarch and TorchForge for distributed programming and reinforcement learning, enabling large-scale agentic systems. Microsoft Learn MCP server…

…set is coming. Agents, Harnesses, and Developer Tooling Agent engineering discussion centered on harnesses, skills, context management, and async orchestration more than raw model choice. swyx outlined AI Engineer tracks including Context…

…phase using distributed GPU resources worldwide. No additional context or technical details about the model architecture, training parameters, or performance metrics were provided in the post. The model's distributed training approach…

…rules or AI models, more info here. LlamaIndex blogged about Context Engineering and Gemini: LlamaIndex published a blog post on Context Engineering and its techniques. They also detailed how to build a research agent using LlamaIndex and…

…patterns of neuron activations that recur across many different contexts. In turn, any internal state of the model can be represented in terms of a few active features instead of many active neurons. Just as every English word in a…