Results for “context engineering”

…and exploring knowledge boundaries, though without additional context specific capabilities cannot be determined. Initial testing on HuggingFace suggests QwQ-32B performs on par with OpenAI's O1 preview, with users noting it's highly…

…on Stack Podcast: Important discussions emerged around prompt engineering and long context windows on the Stack Podcast featuring Jerry Liu, offering insights into mainstream AI hurdles. Echoed by the community, these dialogues distilled…

…practices, and foundational knowledge needed for product and engineering teams. Agent Interactions: @llama_index showcases LlamaIndex's support for the Agent2Agent (A2A) protocol, allowing AI agents to communicate, exchange information, and…

…mainloop work. On the RL side, @finbarrtimbers provided a rare engineering postmortem on making OLMo 3’s RL stack asynchronous for a 4× throughput jump. The Apple/local stack and training/inference education ecosystem also kept improving:…

…about its naming and performance. The technical debate includes context length and response time, noting that Gemini Exp 1114 has a 32k input context length and is perceived as slower, potentially focusing on "thinking" processes.…

…poetically described SpaceX's rocket catch as not just an engineering victory, but a cultural-spiritual one that stirs a deep yearning for science and objective truth. AI Reddit Recap /r/LocalLlama Recap Theme 1. Advancements in Small…

…Large (398B - 94B active) versions. Key features include 256K context window, multilingual support, and optimized performance for long-context tasks. Claude 3 Updates: @AnthropicAI added LaTeX rendering support for Claude 3, enhancing its…

…in Finance, which though is often covered by Forward Deployed Engineering, is being broadly adopted in every subsector of financial services. You can tell it’s a big deal when OpenAI gets ae to put on a suit for their NYC event with…

…field, which can hold an index or pointer to a coroutine context, enhancing state handling. This design allows for effective management of stack-allocated coroutines, a notable engineering decision in modern architecture. Addressing in…

…LLM Skepticism: @everyoneisgross expresses doubt over Teenage Engineering's cloud hosted LLM, critiquing its potential inability to meet the company's marketing claims. AI Model Performance Gap: @ldj discusses a notable performance gap…

…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…

…Qwen 2.5 Coder Performance, Local Model Usage, Prompt Engineering with Aider, Aider Integration with Various Tools, Model Context Protocol Qwen 2.5 Coder Performance Confusion: Users expressed confusion over the performance of the Qwen 2.5 …