InTDS ArchivebyGiuseppe FutiaOntology Reasoning in Knowledge GraphsA Python hands-on guide to understanding the principles of generating new knowledge by following logical processesNov 15, 20245Nov 15, 20245
InNeuMLbyDavid MezzettiGenerative Audio with txtaiLearn how txtai 7.5 supports Speech to Speech RAG and Generative AudioOct 15, 20241Oct 15, 20241
InTDS ArchivebyBenjamin BodnerDeep Learning vs Data Science: Who Will Win?What is more important, your data or your model?Oct 22, 202438Oct 22, 202438
InTDS ArchivebyNiklas LangEmbracing Uncertainty: The Power of Fuzzy Logic in Decision-MakingExploring how fuzzy logic enhances AI, systems thinking, and real-world applicationsOct 9, 202412Oct 9, 202412
Hugman Sangkeun JungClassification OverviewExplore essential AI classification techniques and how they solve complex problems, enhancing decision-making in tech.Apr 18, 2024Apr 18, 2024
InCodeXbyBakhtiyarsalahHow can we inject our domain knowledge to the traditional ML models? Monotonic constraintsAchieving model interpretability and adherence to domain knowledge is crucial. One way to enhance both is through the implementation of…Oct 2, 20245Oct 2, 20245
InNeo4j Developer BlogbyTomaz BratanicEntity Linking and Relationship Extraction With Relik in LlamaIndexBuild a knowledge graph without an LLM for your RAG applicationsAug 12, 20247Aug 12, 20247
InTDS ArchivebyMichal SzudejkoHow to Talk About Data and Analysis SimplySo that it is understandable and engaging to (almost) everyoneOct 8, 202410Oct 8, 202410
InTDS ArchivebyGiuseppe FutiaTowards Named Entity Disambiguation with Graph EmbeddingsHow to distill knowledge from biomedical text combining pre-trained language models with graph machine learningSep 25, 20244Sep 25, 20244
InTDS ArchivebyConor O'SullivanExplaining Anomalies with Isolation Forest and SHAPIsolation Forest is an unsupervised, tree-based anomaly detection method. See how both KernelSHAP and TreeSHAP can be used to explain its…Sep 30, 20246Sep 30, 20246
InAI AdvancesbyKarthik Rajan, Ph.DMicrosoft’s GraphRAG + AutoGen + Ollama + Chainlit = Fully Local & Free Multi-Agent RAG SuperbotThis superbot app integrates GraphRAG with AutoGen agents, powered by local LLMs from Ollama, for free & offline embedding & inference.Jul 15, 202417Jul 15, 202417
InTDS ArchivebyRobert Martin-ShortA Visual Exploration of Semantic Text ChunkingUse embeddings and visualization tools to split text into meaningful chunksSep 19, 20243Sep 19, 20243
InNeuMLbyDavid MezzettiVector Search & RAG Landscape: A review with txtaiEvaluating txtai against popular open-source alternativesJul 4, 20241Jul 4, 20241
InNeuMLbyDavid MezzettiAI-Powered Parenting: Can AI help you communicate with your grumpy teen?A multi-agent LLM workflow to analyze common parenting situationsDec 11, 2023Dec 11, 2023
InTDS ArchivebyAlon AgmonDeep Clustering with Sparse DataA rather “shallow” and simple approach to deep clustering of highly dimensional data using Keras and manifold learning in 3 simple stepsNov 29, 20201Nov 29, 20201
InTDS ArchivebyMassimiliano CostacurtaText Tiling Done Right: Building Solid Foundations For Your Personal LLMHow to build a text tiling model from scratch using both semantic and lexical similarityJun 4, 20233Jun 4, 20233
Cobus GreylingAutomatic Prompt EngineeringAutomatic Prompt Engineering (APE) generates optimised prompts for text generation, based on three inputs; the expected input data, the…Sep 27, 20233Sep 27, 20233
InTDS ArchivebyLeonie MonigattiIntro to DSPy: Goodbye Prompting, Hello Programming!How the DSPy framework solves the fragility problem in LLM-based applications by replacing prompting with programming and compilingFeb 27, 202414Feb 27, 202414
Kasper JungePydantic: 10 Overlooked Features You Should Be UsingPydantic, a data validation and settings management library for Python, has quickly gained popularity for its ease of use and robust…Oct 23, 20231Oct 23, 20231
InTDS ArchivebyTobias SchnabelSupercharging Prompt Engineering via Symbolic Program SearchFind better prompts by exploring a large set of prompt variants automaticallyApr 22, 20241Apr 22, 20241