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General AI Assistant(GAIA): AI Agents Evaluation Benchmark.
Are reasoning and tools use abilities of AI Agents close enough to us?
We are way past traditional AI(predicting numbers and generating pixels). LLM can accurately predict the next word; thanks to transformer architecture and open-source contributions.
Predicting the next word is simply a combination of mathematical operations. How can we trust the response generated by LLM?
How can we measure whether the LLM is generating correct and reasonable responses?
Benchmarks….
Now What are benchmarks?
Think of them as evaluation or comparison metrics we use to assess the AI model’s performance by running standardized tests.
Many benchmarks have been developed recently with the AI boom to measure LLM responses.
New methodologies and techniques like supervised fine-tuning, reinforcement learning with human feedback, and more have emerged.
This emergence has led to the evolution of AI applications at an alarming pace, breaking all benchmarks.
Yeah, benchmarks are simple measures of how well a system or program is performing. What is so special about agentic benchmarks? Moreover, what is this GAIA now?
