Generative AI and Contextual Confidence: Challenges to Contextual Confidence from Generative AI
#generativeai #contextualconfidence #aichallenges #artificialintelligence #technology #arxiv #generativeaipaper #arxivpaper
https://hackernoon.com/generative-ai-and-contextual-confidence-challenges-to-contextual-confidence-from-generative-ai
#generativeai #contextualconfidence #aichallenges #artificialintelligence #technology #arxiv #generativeaipaper #arxivpaper
https://hackernoon.com/generative-ai-and-contextual-confidence-challenges-to-contextual-confidence-from-generative-ai
Hackernoon
Generative AI and Contextual Confidence: Challenges to Contextual Confidence from Generative AI | HackerNoon
An arxiv paper about maintaining contextual confidence amidst advances in generative AI, offering strategies for mitigation.
Generative AI and Contextual Confidence: Abstract & Intro
#generativeai #contextualconfidence #aichallenges #artificialintelligence #technology #arxiv #generativeaipaper #arxivpaper
https://hackernoon.com/generative-ai-and-contextual-confidence-abstract-and-intro
#generativeai #contextualconfidence #aichallenges #artificialintelligence #technology #arxiv #generativeaipaper #arxivpaper
https://hackernoon.com/generative-ai-and-contextual-confidence-abstract-and-intro
Hackernoon
Generative AI and Contextual Confidence: Abstract & Intro | HackerNoon
An arxiv paper about maintaining contextual confidence amidst advances in generative AI, offering strategies for mitigation.
Say Goodbye to Tokens, and Say Hello to Patches
#artificialintelligence #llms #tokenization #meta #research #arxiv #bltarchitecture #bltentropy
https://hackernoon.com/say-goodbye-to-tokens-and-say-hello-to-patches
#artificialintelligence #llms #tokenization #meta #research #arxiv #bltarchitecture #bltentropy
https://hackernoon.com/say-goodbye-to-tokens-and-say-hello-to-patches
Hackernoon
Say Goodbye to Tokens, and Say Hello to Patches
Meta's BLT architecture is a better way to scale LLMs that may lead us to replace tokenization with a patches-based approach