3D-LLM significantly upgrades AI's perception of the world. It interacts with the environment, locating objects, and commonsense reasoning. Beyond computation, it integrates ChatGPT to train the model.
@whats_ai
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Fine-tuning Embedders vs Embeddings: Key Differences Explained
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What is the difference between fine-tuning an embedder vs. fine-tuning embeddings? Fine-tuning embeddings would be like Deep Memory from Activeloop where you have an additional model transforming embeddings in a better representation for your dataset?
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Master Simple Explanations: AI Education Tips Luis Serrano
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Win Your Audience and be a Better Educator: Boost Clarity, Ditch Jargon with @SerranoAcademy
. In this clip Luis shares his tips to master the art of "simple explanations": https://
youtu.be/gkMoBlkBN8Q From my interview with the fantastic AI online educator and YouTuber Luis Serrano. -
Petar Veličković Shares AI Research Career Insights
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Don't miss out on the chance to gain further insights from Petar Veličković's journey and his advice on building a career in AI research. Bring your cup of coffee and watch the full interview here: https://
youtu.be/l2cj0-HTCC4 -
What’s AI: Your Guide to Artificial Intelligence Simplified
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Want AI simplified? Dive in with 'What's AI' on YouTube/podcast. Follow now for AI, demystified! 🙂
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PhD Value in AI Research: Beyond Traditional Gateways
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Debate persists about the PhD's value and learned skills. Petar suggests it prepares you for larger unsolved issues and self-growth, but notes it's not the only gateway to AI research (I agree!).
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Competitive Programming Skills Enable AI Research Without PhD
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He stresses that competitive programming skills can enable anyone to participate in AI research, regardless of having a PhD. The flexibility of AI fosters a diverse, innovative ecosystem driven by curiosity.
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PhD Machine Learning to DeepMind Research Career Path
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During his studies, Petar's interest in math, physics, and computer science guided him to earn a PhD in machine learning from Cambridge. Originally aiming to be a software engineer, he joined Deepmind after internships in AI sparked a love for research.
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DeepMind Scientist on Graph Neural Networks and AI Research
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I had the pleasure to interview @PetarV_93
, a research scientist at Deepmind and lecturer at Cambridge University, specializing in graph neural networks. He discusses his early interest in programming and transition into AI research. Some insights… -
What’s AI: Simplified AI Education on YouTube and Podcast
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Want AI simplified? Dive in with 'What's AI' on YouTube/podcast. Follow now for AI, demystified! 🙂