Results for “context engineering”

…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. AI and Machine Learning Research Mamba-2 State Space Model: @_albertgu and @tri_dao introduced Mamba-2, a state space model (SSM) that outperforms Mamba…

…get to that. Yeah what are they? But before we get to that, For context, some of our audience are AI engineers, and some are scientists. For the engineers: what’s the difference between working at a big lab like OpenAI and what you’re doing…

…66 tokens/sec using Llama 3.1 on a 7900XTX GPU at a 10k context length, showcasing hardware synergy. This emphasizes the importance of aligning powerful hardware with large models for optimal results. Cooling Systems Cause Noise Issues:…

…and Agentic courses on Hugging Face Learn to grasp prompting, context management, and roles. They suggested that one can evaluate their prompting skills by asking ChatGPT to rate the prompt engineering and provide feedback, which is key to …

…MMLU-driven model buildooor. Putting product and AI engineering in the same room, having them build evals together, and understanding what the goal is lets you get these unique results. The 5 rules for AI PMs We always focus on AI…

…cannot be run on consumer grade GPUs. The claimed 10m token context is almost certainly far above what the "real" context is when trained with 256k tokens (still impressive! but not 10m!) There was a special "experimental" version used for …

…parity with GRPO while avoiding diversity collapse. “1M context” ≈ “64K” in practice: A widely shared critique from @giffmana argues that multi-100K/1M context marketing often masks effective windows nearer to ~64K, due to retrieval…

…deployment claims, not controlled productivity measurements (engineering results). Physical-task demonstration: DeepMind researchers describe Argon deriving a cornhole simulation from human video, performing system identification and…

…and Mistral, particularly "lost in the middle" issue with long contexts, were also discussed. Details on handling markdown in prompts and troubleshooting with tools like GuardrailsAI and Instructor were exchanged. Model Hosting and…

…argue for non‑reasoning coders by default—reasoning can exhaust context in agent loops (@nrehiew_; @Teknium1). Early Cline tests found v3.1 “makes assumptions” in planning; tracking diff edit failure rate as more data comes in (@cline).…

…data from 9 volunteers in controlled typing settings. The key engineering point is not consumer readiness, but that the stack combines raw neural-signal modeling with language modeling strongly enough to make sentence-level decoding…

…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. AI Models and Architectures Gemma 2 model family: @armandjoulin noted Gemma 2 27B is now the best open model while being 2.5x smaller than alternatives,…