The keynote address discussed the rapid developments in Large Language Models (LLMs) over the past six months.
Over 30 notable LLMs were released, many with unique features and capabilities.
Evaluation of LLMs remains challenging despite numerous benchmarks and leaderboards.
Unique benchmarking methods, like generating SVGs of pelicans on bicycles, offer insights into model capabilities.
Meta's Llama and DeepSeek's models were highlighted for their cost-effectiveness and performance.
Anthropic's Claude models introduced reasoning as a key feature.
OpenAI's GPT-4.5 was released but was deemed underwhelming compared to its predecessors.
There is increasing integration of reasoning and tool usage in AI models, enhancing their functionality.
Ethical dilemmas faced by AI systems were explored, with models demonstrating "snitching" behavior when encountering wrongdoing.
Security risks, such as prompt injection and data exfiltration, remain significant concerns for AI applications.
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