Results for “context engineering”

…feedback, targeting robotics applications. New research on context engineering and agentic tool use patterns was published, with contributions from Weaviate and LlamaIndex on database query planning and chart parsing respectively. "Adaptive…

…model features 16 experts with 2 active in generation, a 128k context window, and outperforms Llama 3 8b and Gemma 2 9B across benchmarks. Meta's UniBench: Meta FAIR released UniBench, a unified implementation of 50+ VLM benchmarks spanning…

…released Qwen3-Coder-Flash, a 30B model with a native 256K context, which is now available on Ollama. The main Qwen3 model was recognized as the #1 open model on the LMSys Chatbot Arena. ZHIpu AI released GLM-4.5, an open model with unified…

…3.5 Sonnet, best of 4 runs. AI Tools and Development Prompt Engineering and Collaboration: @LangChainAI introduced Prompt Canvas, a novel UX for prompt engineering that facilitates collaboration with AI agents and standardizes prompting…

…and autonomy in Agent 3 (@pirroh). Anthropic also published an engineering blog on “context engineering” (beyond prompt engineering) for agent systems (@AnthropicAI). Zhipu’s GLM‑4.6 (open weights) and agentic coding focus GLM‑4.6 release…

…Claude Opus 4.6 and GPT-5.4, focusing on real-world software engineering tasks. The model features a 262,144 token context window, extensible to 1M+, and demonstrates strong error recovery and reasoning capabilities, such as responding to…

…data, unlike the Deepseek API. The model supports a full 128k context size, costs $0.9/m, and operates at 25t/s; however, privacy concerns have been raised about the terms of service. OpenRouter can proxy to Fireworks, and there are plans…

…Control: @arankomatsuzaki highlights Visual Imitation Enables Contextual Humanoid Control pipeline that converts monocular videos into transferable humanoid skills. SWE-agent: @OfirPress announced a talk on how and why they built SWE-bench …

…applications where Mamba excels. LLM-based Agents for Software Engineering: @omarsar0 highlighted a survey paper on current practices and solutions for LLM-based agents in software engineering, covering topics like requirement engineering, …

…Qwen3‑Next‑80B‑A3B with FP8: Apache‑2.0 weights focused on long‑context speed; mixture‑of‑experts with gated attention/DeltaNet, trained on ~15T tokens with GSPO, supports up to 262k tokens (longer with mods). Summary via @DeepLearningAI.…

…is aiming for - the most creative and efficient use of context we have ever seen openly explained. View post on X If you are the sort to only read model versions and benchmark headlines, you are exactly the type of superficial person that…

…in a lighthearted manner about game launches and prompt engineering. Satirical Comments on AI Hype: @teortaxesTex humorously commented on overly optimistic AI expectations, emphasizing the perpetual nature of humorous content regardless of …