Results for “context engineering”

…on knowledge, forward-planning, constraint adherence, and long context reasoning. Claude Performance with Extended Thinking: @cline reports that Claude Opus 4 with Extended Thinking achieved 58% better performance on reasoning tasks, while …

…summarized V4 Flash 0731 as still 284B total / 13B active, 1M context, text-only, at $0.14 / $0.28 per 1M input/output tokens with an unusually aggressive 98% cache-hit discount to $0.0028 / 1M cached tokens (@ArtificialAnlys). On their…

…shifting preferences in coding assistants. Effective Prompt Engineering Insights: Discussions on crafting effective prompts emphasized their necessity for generating accurate AI outputs, focusing on providing ample context. Concerns were…

…not just prompting, focusing on declarative intent and context engineering, and NOT prompt optimization. aider (Paul Gauthier) ▷ #general (48 messages🔥): Make vs Zapier vs n8n, aider git repo error, MCP tool call models,…

…a first-class product surface: LangChain released an Eval Engineering Skill that uses repo context and trace data to bootstrap task/eval creation with Harbor, described by @LangChain and @hwchase17. Prime Intellect pushed further on…

…used its model to train a competing AI. Without further context or details provided in the post, the implications or evidence supporting this claim remain unspecified. Many commenters highlight the irony in OpenAI's complaint, pointing out …

…9B V2 (reasoning small model): A hybrid Mamba‑Transformer, 128k context model trained by NVIDIA (not Llama-derived), released under the NVIDIA Open Model License (no Llama restrictions). Supports reasoning/non-reasoning modes (system…

**Agent Engineering is all you need.** AI News for 2/20/2025-2/21/2025. We checked 7 subreddits, 433 Twitters and 29 Discords (212 channels, and 6493 messages) for you. Estimated reading time saved (at 200wpm): 663 minutes. You can now tag …

…supports Matryoshka embeddings (output dims 768→128), 2k context, and EdgeTPU latency <15ms in some settings. Immediate ecosystem support across Hugging Face Sentence Transformers, Ollama, MLX, llama.cpp, LlamaIndex, LangChain, Weaviate,…

…You can opt in/out of email frequencies!AI Twitter RecapHarness Engineering, Agent Orchestration, and the Shift from Models to Context PipelinesThe harness is becoming the product boundary: A recurring theme across the day was that model…

…prompt design in GPT4All, highlighting complexities in prompt engineering. Context Length Constraints Raise Eyebrows: Contributors confirmed GPT4All enforces about 2048 tokens for conversation recall, truncating text if it exceeds that…

…Edge-ready models (single-card deploy) with 256K context, tool/agent skills, and multi-framework support (SGLang, vLLM, TensorRT-LLM). Repos and HF weights linked by @TencentHunyuan. Large yet affordable VLMs: StepFun’s Step‑3 (321B MoE)…