Results for “context engineering”

…Users can tweet their creations for a chance to win a Teenage Engineering OB-4, with the contest ending Friday, according to @OpenAIDevs and @kevinweil. @juberti notes they have added ASR, gpt-4o-transcribe with SoTA performance, and TTS,…

…at something new that he’s working on that he calls dialogue engineering: So I've created a new approach. It's not called prompt engineering. I'm creating a system for doing dialogue engineering. It's currently called AI magic. I'm doing…

…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. AI Models and Architectures New NVIDIA Nemotron-4-340B LLM released: @ctnzr NVIDIA released 340B dense LLM matching GPT-4 performance. Base, Reward, and…

…Scores 41 on the AA Intelligence Index at 291 tok/s with 1M context, and is free in Cline. On ARC-AGI it posts 89.2% on v2 at $0.40/task and 98.5% on v1. On v3 it scores 10.4% with the standard harness and 35% with the provider harness.…

…the incomplete phrase "Extraordinary c", providing insufficient context for a meaningful summary of the author's intended argument or critique. Reflection 70B's performance is significantly worse when benchmarked using the latest…

…Introducing Reza00:01:49 Quantitative Finance and Data Engineering00:11:23 From Data to AI at Replit00:17:26 Replit GhostWriter00:20:31 Benchmarking Code LLMs00:23:06 AmjadEval live demo00:31:21 Aligning Models on Vibes00:33:04 Beyond Chat …

…optimizing AI performance with a focus on using shorter contexts for better results, potentially transitioning these insights to GPT-4 and publishing them as blogs. An active exchange about malware security in relation to HuggingFace, with …

…messages, and tabular data all contain substantial content with contextual relationships. IDEFICS 2-8B Continued work from last year's IDEFICS, a totally open source reproduction of Google's Flamingo unreleased multimodal model. Rewind…

…as a meaningful step up, especially in instruction following, context reliability, and stability, while still suffering from verbosity and high token usage. Elsewhere, @scaling01 claimed recent ALE-Bench runs show Chinese models like…

…rather than outside of it (this is one of three variants as context, head, or layer). The paper notably uses a surprisal measure to update its memory: and models forgetting by weight decay The net result shows very promising context…

…to AI, but remained relatively unchanged (or AI SRE or AI Data Engineering as a category seemed to particularly struggle). Today many of the leading coding agent companies took steps in the “Close the Outer Loop” direction. For a lead…

…Prompting Success: @exhort_one shared their journey in prompt engineering, which, after several iterations and learning from the community, led to a successful generation of the desired script. OpenAI Channel Summaries ▷ #ai-discussions…