Jindřich LibovickýHighlights from Machine Translation and Multilinguality in Summer 2024Here are summaries of a few papers that I liked during the (long academic) summer.4d ago
Devmallya KararChain-Of-Thought ( CoT ) in Large Language Models prompting and Concise CoT with Code…Chain-of-Thought (CoT) prompting is a technique in large language models (LLMs) where intermediate reasoning steps are generated to solve…Oct 32
Vipra SinghLLM Architectures Explained: NLP Fundamentals (Part 1)Deep Dive into the architecture & building of real-world applications leveraging NLP Models starting from RNN to the Transformers.Aug 1512Aug 1512
Yogendra VermaWhy Auto-Adjudication Systems Are Important in Finance and Medicine-Part1In today’s digital world, technology has made many things easier. Auto-adjudication systems are a good example of how automation is helping…4d ago4d ago
Mike CvetinTowards Data ScienceTemperature Scaling and Beam Search Text Generation in LLMs, for the ML-AdjacentWhat “temperature” is, how it works, its relationship to the beam search heuristic, and where LLM output generation can still failApr 263Apr 263
Jindřich LibovickýHighlights from Machine Translation and Multilinguality in Summer 2024Here are summaries of a few papers that I liked during the (long academic) summer.4d ago
Devmallya KararChain-Of-Thought ( CoT ) in Large Language Models prompting and Concise CoT with Code…Chain-of-Thought (CoT) prompting is a technique in large language models (LLMs) where intermediate reasoning steps are generated to solve…Oct 32
Vipra SinghLLM Architectures Explained: NLP Fundamentals (Part 1)Deep Dive into the architecture & building of real-world applications leveraging NLP Models starting from RNN to the Transformers.Aug 1512
Yogendra VermaWhy Auto-Adjudication Systems Are Important in Finance and Medicine-Part1In today’s digital world, technology has made many things easier. Auto-adjudication systems are a good example of how automation is helping…4d ago
Mike CvetinTowards Data ScienceTemperature Scaling and Beam Search Text Generation in LLMs, for the ML-AdjacentWhat “temperature” is, how it works, its relationship to the beam search heuristic, and where LLM output generation can still failApr 263
Kerem AydınWhat is an LLM Agent and how does it work?The main intuition behind agents is a model using a large language model as its central computational engine to reason through a problem…Jan 94
Naya WorxTop Used NLP(natural language processing) TechniquesImagine you’re talking to a friend. You’re using words, sentences, and grammar to communicate your thoughts. NLP is like teaching a…4d ago
Sebastian BahrinTowards Data ScienceBuild a (recipe) recommender chatbot using RAG and hybrid search (Part I)This tutorial will teach you how to create sparse and dense embeddings and build a recommender system using hybrid searchMar 203
