Bernd WesselyinTowards Data ScienceAvoid Building a Data Platform in 2024Why articles about ‘Building a Data Platform’ are mostly misleadingAug 1311Aug 1311
Anthony AlcarazinCodeXThe Geometry of Agentic DesignAgentic design intentionally structures an AI agent’s capabilities, interactions, and decision-making processes.Aug 26Aug 26
Marco PeixeiroinTowards Data ScienceHands-On with Moirai: A Foundation Forecasting Model by SalesforceDiscover the architecture and inner workings of Moirai and apply it in a forecasting project using PythonAug 201Aug 201
Eleventh Hour EnthusiastHRGraph: Leveraging LLMs for HR Data Knowledge Graphs with Information Propagation-based Job…Paper ReviewAug 17Aug 17
Nakul UpadhyainTowards Data ScienceIntroduction to Interpretable ClusteringWhat is interpretable clustering and why is it important.Aug 13Aug 13
Anthony AlcarazMultimodal RAG Pipeline: the Value of Complex DocumentsPicture this. You’re analyzing a corporate slide deck. Charts, tables, images — all at your fingertips. An AI assistant decodes a…Jul 171Jul 171
Marco PeixeiroinTowards Data ScienceSOFTS: The Latest Innovation in Time Series ForecastingDiscover the architecture of SOFTS and the novel STAD module, and apply it in a forecasting project using Python.Jun 11Jun 11
Vishal RajputinAIGuysPrompt Engineering Is Dead: DSPy Is New Paradigm For PromptingDSPy Paradigm: Let’s program — not prompt — LLMsMay 2948May 2948
Paul IusztininDecoding MLArchitect scalable and cost-effective LLM & RAG inference pipelinesDesign, build and deploy RAG inference pipeline using LLMOps best practices.Jun 11Jun 11
Anthony AlcarazinCodeXTo Fine-Tune or Not to Fine-Tune?Large language models (LLMs) have emerged as a transformative technology, capable of processing and generating human-like text with…May 28May 28
Anis ZakariChanging the GPU is changing the behaviour of your LLM.Most tech people know that varying versions of dependencies can result in different behaviors. However, in the realm of Large Language…May 274May 274
Yanli LiuinTowards Data ScienceWhy Representation Finetuning is the Most Efficient Approach Today?A Step-by-Step Guide to Representation Finetuning LLAMA3May 269May 269
Research GraphAutomated Knowledge Graph Construction with Large Language Models — Part 2Harvesting the Power and Knowledge of Large Language ModelsMay 132May 132
Anthony AlcarazinCodeXAgentic RAG: Personalizing and Optimizing Knowledge-Augmented Language ModelsLarge language models (LLMs) have emerged as a transformative force in the field of artificial intelligence, demonstrating remarkable…May 19May 19
Research GraphHow to use Large Language Models to tag your data: A complete tutorialUsing Mistral for Data taggingMay 13May 13
Paul IusztininDecoding MLThe 4 Advanced RAG Algorithms You Must Know to ImplementImplement from scratch 4 advanced RAG methods to optimize your retrieval and post-retrieval algorithmMay 411May 411
Sunila GollapudiinTowards Data ScienceCombine Text Embeddings and Knowledge (Graph) Embeddings in RAG systemsIn my previous articles, I wrote about using Knowledge Graphs in conjunction with RAGs and how Graph techniques can be used for Adaptive…Apr 299Apr 299
Erik SchöninStackademicThe Art of Strategy: Wardley Mapping ExamplesAnnex: A curated, diverse and updated atlas of valuable mapsMar 6, 2019Mar 6, 2019
Chia Jeng YanginWhyHow.AIIntroducing Schema Controlled Automated Knowledge GraphsWe are building tools to help you structure your data with your opinion, through knowledge graph tooling.Apr 212Apr 212