I wrote a profiling tool for agents
While building an agent for a client, we hit a scaling problem: a coordinator agent had 4-5 subagents each with 15-20 tool calls. Each tool result got appended to the context, then what started as a r

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Articles tagged with #llm
While building an agent for a client, we hit a scaling problem: a coordinator agent had 4-5 subagents each with 15-20 tool calls. Each tool result got appended to the context, then what started as a r

Have you ever exclaimed after a few hours engaged in some fruitless activity, "Well, that's X hours of my life I'll never get back"? Or, when in a reflective mood, "I wish I knew this when I was 16!"?

You push a change to a prompt and your eval score drops from 0.91 to 0.84. Something got worse, but the score doesn’t tell you what. So you start re-running the pipeline, tweaking your inputs, pouring

0.9B parameter model running on CPU matched a 50¢/M token cloud API

Today the latest LLMs have large context windows up to ~1 million tokens. There are many occasions when this larger context window can be useful: Context engineering: injecting rich system/user conte

Since the launch of Airbyte 1.0 with AI Assist, hundreds of new Airbyte connectors have been built. We recently joined our partners at Airbyte for the Data Bytes meetup where we answered questions from an audience of data engineers, AI enthusiasts, a...
