Results for “context engineering”

…attempting to merge two MistralCasualML models with differing context sizes, highlighting a tensor size mismatch. Community members were seeking solutions to this and related issues. JSPyBridge Facilitates Cross-Language Engineering:…

…practical limit of scientific agents: a language model’s finite context can constrain how much information it synthesizes and how many steps it takes. The structured model incorporates information from many agent trajectories while keeping …

…work, emphasizing design decisions over mere prompting or AI engineering. Aider Session Resumption Saves Context: Discussion arose around resuming Aider sessions to maintain context memory, using the --resume flag, but with incomplete…

…times faster. Before his work at Lila, Beam worked on protein engineering and medical AI. Those earlier roles provide context for his experience building models around biological and clinical data. Earlier career: protein engineering and…

…for reasoning and advanced technical concepts, high-quality engineering data, and an improved optimizer and training recipe. This produced a stronger foundation for the SFT and RL stages that followed.We then used Grok 4.5 to regenerate the…

…under alternative interventions. That earlier work provides context for his expertise in causal inference and data-driven decision-making. Earlier research: synthetic interventions Agarwal coauthored Synthetic Interventions with Devavrat…

…seconds (152k views) Cohere transforming insurance with large context summarization and knowledge assistants (4k views) Runway partnering with Musixmatch to make lyric video creation and customization easier (8k views) Prompt Engineering as…

…individual labs otherwise tackle separately. Midha credits AMP engineering leaders Seb and Mihai with the Google scheduling experience behind its starting architecture. He connects the design to guaranteed capacity and interruptible jobs:…

…both sides, as it incrementally mak[es] agents easier to run. Context Engineering Seeded by ByteDance: Members discussed Context Engineering, with one calling it Latent Space Engineering, linking to a post on Hacker News. Reference was made…

…an encoder-only masked language model with an 8,192-token context. It brought newer transformer engineering to BERT-style models used for classification, retrieval, and other language-processing tasks. The base model predicts masked words; …

…recognition was resolved. People discussed issues around prompt engineering, like struggles with getting the AI to adhere to detailed guidelines for modifying code and difficulties in getting the AI to rewrite original text into a format…

…The FSDP–QLoRA integration brings the discussion back to engineering. The training arrangement keeps the main model weights quantized and trains separate floating-point adapters to modify its behavior. Those adapters can then be distributed…