LangChain x @TimescaleDB Webinar: Is RAG Really Dead?! With the advent of LLMs with context windows of 1 million tokens (like Google Gemini), many have declared the utility of Retrieval Augmented Generation dead and no longer necessary. But is this actually true? Or simply
RESEARCH
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Knowledge Execution Gap Critical Both Matter Equally
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knowing what to do and actually doing are both critical, but it is a common mistake to value only one of them
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Brain Operations Versus Token Generation Mechanisms
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How many operations does a human brain perform to generate a token?
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Data-Centricity Panel Discussion: Applied AI Industry Insights
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This panel discussion from last year, titled "Practical Paths to Data-Centricity in Applied AI," continues to resonate. Voices from tech giants explored the significance of data-centricity in the realm of Applied AI. Watch the full panel discussion here:
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Attention Effects Transform Our Perception of Emerging Technologies
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something weird happens when we start paying more attention to things that we weren't paying that much attention to!
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AI Privacy Risks: Protecting Personal Data in the New Era
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AI systems amplify existing privacy risks we’ve been facing for the past decades. How do we protect our personal information in this new era? HAI Fellow @kingjen describes the main findings from their report exploring the privacy challenges posed by AI.
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Netflix Paper on Cosine Similarity for RAG Systems
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If you want a good read on cosine similarity here’s a fantastic paper by Netflix. It discusses building good RAG systems. Before building these systems, you have to make decisions on chunking, embedding, and algorithms for similarity look-up. You want to ensure you are using
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Leading Voices in AI Analysis and Industry Expertise
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One of the sustaining pleasures of my life right now is watching @sarahbmyers
, @ambaonadventure
, and @AINowInstitute grow, and grow, their lead in providing sharp, fearless, and genuinely expert analysis of AI and the industry responsible. Nonpareil! And now, more! -
Compute Moat: Key Advantage for AI Labs Until Scaling Falters
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Until the scaling law for AI training starts to falter, compute is the moat and source of advantage in AI. And two of the top AI labs have no compute of their own.
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Unpredictable Future: AI and Technology Heading Into Uncertain Times
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Yeah, it's impossible to predict the future. We're headed into interesting times, to say the least