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A short history of RAG
From early retrieval systems to modern agentic RAG explore how retrieval-augmented generation evolved into one of the most important architectures in enterprise AI.
Cobus Greyling
Beyond the hype: Real talk on AI’s future from re:imagine 2025
A chat on how AI will change jobs, the importance of keeping humans involved, the ethical risks beyond business, and the complexities of language in AI.
Zach Spirer
LLMs training SLMs
A recent paper from Microsoft Research shows how they used LLMs to train SLMs without any RLHF…
Cobus Greyling
Large impact: The rise of small language models
Discover how Small Language Models (SLMs) are disrupting the AI ecosystem by offering cost-effective, private, and efficient alternatives to Large Language Models.
Cobus Greyling
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