Check this out: http://
ig.ft.com/generative-ai/
GENERATIVE AI
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How Large Language Models Work: Visual Explanation
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How LLMs work, clearly explained with visuals: pic.twitter.com/ujKeJrw5Lf
— Sumanth (@Sumanth_077) 3 mai 2024How LLMs work, clearly explained with visuals:
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Fine-tuning Models with New Data: Demonstrating Practical Capabilities
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I'm ready to believe fine-tunes can do useful things with new facts from their fine-tuning data… but I need to first interact with a working demo to get there!
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Selective Model Weight Updates for Production AI Systems
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Definitely a promising direction, but it doesn't look to me like that technique is useful for production scenarios yet Being able to selectively update model weights to tell a model "the new CEO of Fiat is X" would indeed be incredibly useful if it was fully reliable
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Generative AI Drives Innovation in VR and Robotics
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From personalized virtual reality experiences to groundbreaking advancements in robotics, #GenerativeAI is at the forefront of driving innovation across various industries. https://
youtube.com/watch?v=w_p3yx
p5JOE
… #TechTrends #FutureOfTechnology #Innovation #TechRevolution #TechInsights -
Gorilla: Fine-tuning LLM capabilities for improved function calling
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This Gorilla? That looks like fine-tuning for improved capabilities like function calling, not for baking in extra knowledge https://
gorilla.cs.berkeley.edu -
Fine-tuning LLMs with RAG for personalized email generation
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Thanks, that's a great example "Panza produces a fine-tuned LLM that matches your writing style, pairing it with a Retrieval-Augmented Generation (RAG) component which helps it produce relevant emails." So fine-tuning for writing style, RAG for knowledge
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PhD Research on Improving LLMs Zero-Shot Task Adaptation
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Happening today! PhD researcher Nihal V. Nayak will explain his research into how to improve large language models’ zero-shot task adaptation on users’ specialized, private data faster than ever. Sign up here: https://
buff.ly/3JFtOhR -

AI language models may predict multiple tokens at once
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The future of AI language models may lie in predicting beyond the next word: Multi-Token Prediction Studies suggest that the human brain predicts multiple words at once when understanding language, utilizing both semantic and syntactic information for broader predictions – now
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AI Leadership, Power Infrastructure, and Job Market Updates
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Top stories in AI today: -Sam Altman comments on the future of AI
-Microsoft signs largest-ever power deal
-Try on clothes virtually using AI
-Study: AI benchmarks under scrutiny
-6 new AI tools & 4 new AI jobs Read more: http://
therundown.ai/p/sam-altman-i
vy-league-bombshells
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