Results for “context engineering”

…these examples for future tasks and injecting them into the context window. So that's the kind of capability that makes a huge difference for users. That's the bottleneck today. It's really like good old engineering and product work. Swyx…

…Claude 2.1 well it recalls information across its 200,000 token context window. However, @if_a also considers that testing the long context capability will require more work on prompt engineering. Evaluating AI Models: @gabriel_syme…

…an 11B vision-language family under Apache 2.0 with 256K context, designed for continuous video streams. Its key systems property is that it can keep watching while generating, revise or interrupt answers as scenes change, and remain silent…

…datasets to developing Elaborator models using prompt engineering. Unsloth AI discussion 3. Multimodal AI and Emerging Architectures Anticipation surrounds the integration of ChatGPT voice conversational AI with Open Interpreter API,…

…abilities, a wider coverage of languages and longer context – at least 128K tokens A new function calling guide for GoogleDeepMind Gemini, using the new uSDKs, has been announced by @_philschmid, and includes multiple full examples for…

…Safe AGI03:36:56 A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis03:48:43 MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework04:00:51 Bonus: Notable Related Papers on LLM Capabilities…

…reported, comparisons to DeepSeek V3 and GPT-4o couldnt really contextualize Command A among either SOTA open source or overall SOTA-for-size), it was hard to tell where it would rank in terms of lasting impact. With today's LMArena result,…

…to AGI we’ve ever been. It’s truly exceptional at software engineering, from one-shotting complex apps to solving really gnarly issues across a massive codebase. I wish the story was that simple. I wish I could tell you that it’s “just…

…simplicity in development and deployment, particularly in the context of AI model hosting and managing dependencies. Theme 4. Gemma 3, Mistral 24B, and QwQ 32B: Performance Comparison Gemma 3 27b vs. Mistral 24b vs. QwQ 32b: I tested on…

…one particular piece of information out of all this potential context. That's not really what actually is necessary for doing software engineering because code is a super distributed knowledge store. You actually want to pull in snippets…

…and exploration. Theme 3. Granite 3.1 Language Models: 128k Context & Open License Granite 3.1 Language Models: 128k context length & Apache 2.0 (Score: 144, Comments: 22): Granite 3.1 Language Models now feature a 128k context length and…

…claim: instead of keeping everything in an expensive active context window, you can compile task descriptions or long documents into adapter weights with sub-second latency, enabling rapid adaptation and “durable memory”-like behavior…