In this tutorial, we build a cost-aware planning agent that deliberately balances output quality against real-world constraints such as token usage, latency, and tool-call budget. We design the agent to …
Tag:
Token
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Machine Learning
TOON vs. JSON: Reconstructing the token economy of data serialization in large language model architectures.
Author(s): Shashwat Bhattacharya Originally published on Towards AI. A critical analysis of format optimization for LLM-native data exchange, examining tokenization efficiency, semantic parsing overhead, and architectural implications of the schema-first …
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Unlock Editor’s Digest for free FT editor Roula Khalaf selects her favorite stories in this weekly newspaper. The company behind Donald Trump’s social network has announced plans to distribute a …
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Generative AI
Gina AI Releases Gina-VLM: A 2.4B Multilingual Vision Language Model Focused on Token Efficient Visual QA
Gina AI has been released GINA-VLM, a 2.4B parameter vision language model Which targets multilingual visual question answering and document understanding on limited hardware. The model combines a SigLIP2 vision …