Results for “context engineering”

…It includes Code Interpreter, step-by-step prompting, and flow engineering: chaining operations across multiple turns and incorporating feedback. Instead of putting the whole task into one prompt, an engineer organizes a workflow that can…

…release, and how much should users control afterward? The context window—the length of input a model can work with—raised a different tradeoff. After conflicting figures were offered, Matt supplied 4K and said he believed all model sizes…

…search in real time, then insert the results into the model’s context window, the information available while it generates an answer. That could supply current information and help reduce fabricated answers. LoRA updates remained a proposed…

…and making smaller models competitive. - Less manual workflow engineering: Better instruction following would allow more complex behavior to be specified in prompts; better error correction would reduce repetitive loops. - Harder…

…the bot could not ask follow-up questions and gather enough context to generate the right SQL. Keydunov started Statsbot as a side project while working at a school software company. His team already worked in Slack; he wanted statistics…

…broader thesis is that patient–clinician conversations supply context for diagnoses, treatment, claims and payments. Chai describes his work on clinical decision support as bringing together patient context, payer guidelines and medical…

…asks about the space tool definitions consume in the model’s context window; Rahul does not know whether that constraint has changed. Requesting multiple tools therefore leaves an important question open: how many choices can the model use …

…Cognition, alongside work on a research sub-agent for automatic context engineering—preparing context for a large language model. How to benchmark understanding remains open. Freezing a repository, manually curating answers, and asking…

…as useful for loading existing documentation into a model’s context window, but not something ChatGPT retrieved by default at that time. The speaker reports little discoverability benefit. The clearest engineering failure is useful content …

…was verifiability. Math, physics and, secondarily, software engineering offered ways to define an objective value function—a measure for judging results. The open question was how to construct useful measures where a good answer is less…

…uninterrupted price increases. Scarcity also changes which engineering compromises become attractive. CXL enables CPU memory expansion and pooling; the proposed use is to collect older DDR4 and spare memory into racks and attach that…

…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…