Results for “context engineering”

…notable for local self-hosting: ~60GB BF16, ~18GB 4-bit, 128K context, and memory-efficient hybrid attention suitable for single-node deployment details. Weaknesses: relatively poor hallucination / knowledge calibration and trailing some…

…for Llama 3.1 405B, boasting 969 output tokens/s and a 128k context window. This performance is >10X faster than the median providers. Pricing is set at $6 per 1M input tokens and $12 per 1M output tokens. Claude 3.5 and 3.6 Enhancements:…

…fast on an M4 Max using the mlx-lm codebase (16k lines) as context. A guide on efficiently recomputing the prompt cache is also available. @jerryjliu0 shared a sneak peek of LlamaReport, an agent to create complex, multi-section reports…

…by an incredible transcription, diarization and very long context memory processing pipeline that helps you to remember your day, your todos, and even perform actions by operating a virtual cloud phone. This is one of the most advanced,…

…operating systems to optimize resource allocation, facilitate context switching, enable concurrent execution, provide tool services, and maintain access control for agents. LLM Agent Operating System - Rutgers University 2024 - AIOS AI…

…2x faster fine-tuning, 70% VRAM reduction, and 9x longer context lengths using Unsloth. New uploads on HuggingFace include GGUF, 4-bit, and 16-bit versions, along with Dynamic 4-bit quants that enhance accuracy by selectively maintaining…

…built with NVIDIA: @cursor_ai says its multi-agent software engineering system delivered a 38% geomean speedup across 235 CUDA problems in 3 weeks, a concrete example of agents being applied to systems optimization rather than app…

…models like DistAttention and DistKV-LLM. "Self-Extending Context Window Triumph": @kenakafrosty shared a paper titled 'Self-Extend LLM Context Window Without Tuning', arguing that existing LLMs are inherently capable of handling long…

…is the hosted API version of the same base model, with 1M context (vs model-native 256K) plus search/code interpreter integrations (clarification). Architecture + KV-cache implications: Community discussion focused on Gated Delta Networks /…

…past year. SPECIAL NOTE: We are launching the 2025 State of AI Engineering Survey today in preparation for the AI Eng World's Fair in Jun 3-5. Please fill it out to have your voice heard! {% if medium == 'web' %} Table of Contents [TOC] {% …

…interpretability continues to mature from “vibes” into reverse engineering: a thread summarizing Anthropic’s “On the Biology of a Large Language Model” framed current mech interp as uncovering circuits and internal features with a level of …

…model reach the same perf as Llama 2 7B, surprisingly in a chat context. Yann LeCun's highlights: 1) thin and deep, not wide 2) shared matrices for token->embedding and embedding->token; shared weights between multiple transformer blocks". …