Results for “context engineering”

…Colab: no description foundPrompting | How-to guides: Prompt engineering is a technique used in natural language processing (NLP) to improve the performance of the language model by providing them with more context and information about the…

…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. OpenAI Releases GPT-4o, a Multimodal Model with Voice and Vision Capabilities GPT-4o Capabilities: @sama introduced GPT-4o, OpenAI's new model which can…

…it will think before answering regardless. o1 requires denser context and is more sensitive to clutter and unnecessary tokens. Traditional prompting approaches often involve redundancy in giving instructions, which we found negatively…

…Engine, SmithDB, Sandboxes, Managed Deep Agents, LLM Gateway, Context Hub, and Deep Agents 0.6. The most technically notable piece is SmithDB, a purpose-built observability database for nested, long-running traces with large payloads,…

…of these releases, nor coding ability, nor the 1-2m long context, as Sundar Pichai demonstrates: Of particular note is the cost effectiveness of the new "Flash Lite", as well as the very slight price hike that Gemini 2.0 Flash has vs 1.5…

…shift from VRAM and interconnect to power, heat, stability, context prefill, and multi-node vLLM/SGLang deployment rather than a single-GPU setup. Top comments focus less on the engineering and more on skepticism/amazement at the cost,…

…streaming thinking 128k OUTPUT token capability (in beta) context window and prompt caching skips previous turn thinking blocks) tool use agreeing with Grok 3 that parallel test time compute is useful and worth studying {% if medium ==…

…needed for an LLM to produce grammatically correct and contextually relevant responses, suggesting potential parameter ranges from 50M down to 100K parameters. RAG and masking approaches could enable training smaller models focused on…

…various Microsoft products. AI Research and Techniques Long Context Models: A paper on "Training-Free Long-Context Scaling of Large Language Models" introduced Dual Chunk Attention (DCA), enabling Llama2 70B to support context windows of…

…model, which ranks #1 on the MMTEB leaderboard with an 8k context window and is designed for finance, science, legal, search, and code applications. They also detailed how the Gemini 2.0 Code Executor works, including its auto-fix attempts,…

…at multi-hour agent runs: server-side compaction (to avoid context blowups), OpenAI-hosted containers with networking, and Skills as a first-class API concept (including an initial spreadsheets skill) (OpenAIDevs). In the same window,…

…image and video captioning, which integrates full-image/video context with fine-grained local details. It is now live on Hugging Face, linked by @_akhaliq. DAM takes user-specified regions as input and generates detailed localized…