don't think so! these are based on sequences so they should capture much higher-level features
GENERATIVE AI
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Google Partners with Reddit for AI Model Training
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Reddit and Google are partnering up to train AI models. Last week, we found out Reddit signed a $60M deal granting access to its user content for AI model training to an unknown company. Today, we found out that it was Google. Some thoughts: 1. Social media platforms are
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HyDE Query Translation Technique for RAG Systems
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RAG From Scratch: Query Translation (HyDE) Our RAG From Scratch video series walks through impt RAG concepts in short / focused videos w/ code. This is our final video on Query Translation, focused on Hypothetical Document Embeddings (HyDE) from Gao et al. Problem:
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Stability AI’s Deleted Announcement Amid Major AI Releases
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Fun fact: Stability AI announced this on Thursday in the midst of Gemini 1.5 and Sora but deleted it ~5 minutes later (smart). Great rundown, Alvaro!
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ChatGPT Outages and Performance Issues Discussion
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Loving these tests! Curious when you recorded these? Only asking because I know that yesterday ChatGPT had pretty significant outages/performance issues
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Gemini’s 750K Token Processing Unlocks Major AI Capabilities
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Watching Gemini ingest 750,000+ tokens in ~1 minute and then spit out near-perfect details (on things I wouldn't have even noticed) was a real tipping point for me. SO many capabilities just unlocked. It's going to be a wild year.
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AGI Genesis NFT Game Combines AI and Blockchain Gaming
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[ AGI Genesis NFT Game ] "A beacon of future gaming, where AI's prowess meets the creative explosion of NFTs." Prepare for a revolution. By: http://
MONTREAL.AI WebPage : https://
quebecartificialintelligence.com/agigenesis #AGI #AGIGame #AGIGenesis #NFT #NFTCommunity -
Groq LPU Achieves 500 Tokens Per Second Inference Speed
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🏎️ Incredible Speeds with Groq's LPU-Powered Inference 🕔
— LangChain (@LangChain) 22 février 2024
The langchain-groq package exposes inference capabilities powered by @GroqInc's Language Processing Units (LPUs), soaring to new heights with up to 500 tokens per second on this @MistralAI Mixtral model. Welcome to the… pic.twitter.com/2aBTv7KCfPIncredible Speeds with Groq's LPU-Powered Inference The langchain-groq package exposes inference capabilities powered by @GroqInc
's Language Processing Units (LPUs), soaring to new heights with up to 500 tokens per second on this @MistralAI Mixtral model. Welcome to the -
Recreating Articles Using Eigentext Vector Representations
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the obvious next step from there is to recreate specific articles based on their eigentext vectors – essentially this part
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Eigenfaces for Text: PCA on Domain-Specific Embeddings
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project request: eigenfaces, but for text do PCA on text embeddings from a particular domain and find the "eigentext" embeddings that represent that domain then project back to text with vec2text. what would the eigentexts look like? surprised no one has done this yet