Results for “context engineering”

…Another called remote execution and its interface a hard engineering problem. A third pointed to a possible ingredient for moving a session between machines: externalize its state in an append-only log, so another environment can resume…

…acknowledging that many are only a couple of years old. A lab’s engineering and distribution may make entry possible; whether entry is strategically wise remains a separate decision. The career discussion describes academic competition in…

…try again? At OpenAI DevDay, Weinstein, who leads product and engineering for computer-use agents, and API product lead Nikunj Handa describe two connected pieces of the stack. Weinstein discusses how an agent operates software; Handa…

…sources of 500,000 words each, too much to fit into the model’s context window at once. Handling that collection across text and images remained an unresolved engineering problem; no detailed retrieval design was presented. Natural audio…

ICLR 2024, Part 1 of 4: Learning Representations, Compression, and Control Part 1 follows the VAE retrospective, Würstchen’s compressed image generation, concept-based controls for diffusion, the compression argument for unsupervised…

ICLR 2024, Part 1 of 5: Finding the Tasks Agents Still Cannot Do Part 1 follows the path from rebuilding an NLP course after ChatGPT to web agents, social evaluation, code optimization and the compute constraints shaping academic research.

Inference Efficiency Starts with the Application From image search to conversational characters, useful AI depends on matching hardware, model size and training data to the task—and meeting its response-time budget.

Inside Gemini Deep Research: Planning, Evidence, and the Five-Minute Agent How Gemini turns a question into an adaptive investigation—and the model, interface, evaluation, and execution choices that make it useful.

Inside Poolside’s Model Factory Streaming data, reproducible experiments and persistent agents serve a common goal: shorten the path from a research idea to a trustworthy model improvement.

Jailbreaking AGI: From Prompt Templates to Full-Stack Security Intuitive prompt exploration, contested evaluations, open research, and the risks of agents that see only part of a task.

Language Agents: From Reasoning to Reliable Action Reasoning helps an agent choose its next move. Reliable action also depends on usable tools, meaningful feedback, memory, and control over the workflow.

Latent Space’s 2024 Year in Review — Part 2 of 3: From Model Demos to Daily Work Part 2 follows the move from impressive models to usable products: simpler image editing, branching agent execution, portable memory, harder evaluations and…