When you change RAG settings, the number of questions that can be answered increases. It is tempting to judge this as an ...

When building AI agents, it doesn't end with just "making the LLM think." You eventually want to execute some kind of program ...

Docker tutorial for 2026: build a multi-stage, non-root Flask image in 12 steps, scan it, lock down the runtime and push it ...

UCSB and Microsoft's ScholarEvolve generates code from academic papers to improve an agent's harness without retraining model weights. It raised Qwen3.5-27B's task completion rate to 81.4%. Here is ...

MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...

Repeatable collaborative-agent experiments with participation observations and separate artifact evaluations - microsoft/amplifier-acp-lab ...

Compare open-source AI token optimization tools for coding agents and APIs, including benefits, risks, setup and ways to ...

MIT CSAIL's "weight-space programming" has a frontier LLM read and edit neural network weights directly, with no gradient descent. Surgical edits ended Qwen's reasoning loops, but the results come ...

GPT-6 Astra edited Qwen’s weights and raised MATH-500 from 7.9% to 48.1% in author-run tests. How weight-space programming works—and its limits.

Build an MT5 trading bot with AI help. Write the rules, generate the MQL5 code, compile it in MetaEditor and test it on a ...

Deploy an AI agent on AWS Bedrock AgentCore with Strands, Gateway, Memory, and Runtime in this 12-step, 90-minute tutorial.

Twenty-two years ago, Dr. Werner Vogels would not have guessed he would spend this long at one company. By his own account, ...