Gerard Sansai-cosmos.hashnode.dev·5 hours agoAI Literacy: The Critical Distinction Between Latent Space and Output SpaceIn the realm of artificial intelligence, particularly with large language models, there's a fundamental misconception that needs addressing: the relationship between an AI model's latent space and its output space. This distinction is crucial for und...Discussoutput-space
Gerard Sansai-cosmos.hashnode.dev·7 hours agoThe 3 Myths of AI Literacy: Common Misconceptions Holding Back True UnderstandingAs artificial intelligence becomes increasingly integrated into our daily lives, a concerning pattern of misconceptions threatens to undermine our ability to effectively understand and utilise these powerful tools. Three particular myths stand out as...DiscussAi-convergence
Gerard Sansai-cosmos.hashnode.dev·11 hours agoIt's Time for AI Research to Embrace Evidence Over SpeculationThe current trajectory of AI research risks being undermined by a troubling pattern: the rush to adopt speculative methods and terminology without demanding the evidence to back them up. Techniques like in-context learning (ICL) and chain-of-thought ...DiscussAI
Tahmid ChoudhuryforEvolution of NLPtransformer-nlp.hashnode.dev·Nov 21, 2024🤖The Evolution of NLP: From RNNs to TransformersNatural Language Processing (NLP) has come a long way in recent years, with groundbreaking advancements in understanding and generating human language. From Recurrent Neural Networks (RNNs) to Transformer architectures like BERT and GPT, NLP models h...Discuss·2 likestransformers
karthik hubliforText Embeddingtext-embedding.hashnode.dev·Nov 21, 2024From Words to Vectors: Understanding the Magic of Text EmbeddingTransformers are the backbone of large language models (LLMs) and have revolutionized natural language processing by enabling models to handle vast amounts of text efficiently. Unlike traditional neural networks, transformers use a self-attention mec...DiscussAI
Gerard Sansai-cosmos.hashnode.dev·Nov 19, 2024The Dangers of AI Hype: When the Illusion of Intelligence Becomes a ProblemIn the realm of artificial intelligence, there exists a seductive illusion—a perpetual, agreeable companion that seems to understand, validate, and support without hesitation. We call this the "yes-persona," a phenomenon that reveals far more about t...Discuss·80 readsOpenAI seriesAI
Gabi DobocanforTelepatblog.telepat.io·Nov 19, 2024Understanding TrajGPT: Bringing Innovation to Synthetic Trajectory GenerationIn this blog entry, we'll take a deep dive into TrajGPT, a fascinating development in synthetic trajectory generation and human mobility modeling. TrajGPT presents novel solutions to the challenges of spatial and temporal prediction, which hold signi...DiscussSpatiotemporal modeling
Gerard Sansai-cosmos.hashnode.dev·Nov 19, 2024Why Chatbots Are Not Like a Person or Truly IntelligentArtificial Intelligence has captured the public imagination, but beneath the impressive surface lies a fundamental truth: AI is not a person. Despite its seemingly sophisticated interactions, AI lacks the core elements that define human consciousness...DiscussAI
Rahul Lokurterahullokurte.com·Nov 18, 2024Understanding Token and Positional Embeddings in TransformersTransformers, the backbone of many state-of-the-art NLP models such as BERT, GPT has revolutionized the way we approach natural language understanding tasks. One key innovation in transformers is their ability to handle entire sequences of tokens sim...Discussnlp
Gerard Sansai-cosmos.hashnode.dev·Nov 14, 2024The Limits of Text-Based Persona SimulacraIn the age of advanced language models and conversational AI, the allure of synthetic intelligence can be captivating. We're drawn to the idea of interacting with chatbots and digital assistants that can mimic human-like personalities. However, under...Discuss·50 readsOpenAI seriesai-persona-simulacra
