InTDS ArchivebyKhin Yadanar LinOptimisation: Unpacking Queueing Theory in its Simplest TermsHave you ever found yourself waiting in line at a supermarket, a restaurant, or a bank, wishing your turn would come just a bit faster?Mar 11, 2024Mar 11, 2024
InTDS ArchivebyMarcello PolitiMlOps — A gentle introduction to Mlflow PipelinesOrchestrate your end-to-end machine learning lifecycle with MLflowMar 13, 20244Mar 13, 20244
InTDS ArchivebyVyacheslav EfimovSystem Design: Consistent HashingUnlocking the power of efficient data partitioning in distributed databases like Cassandra and Dynamo DB.Mar 13, 2024Mar 13, 2024
InTDS ArchivebyGraham HarrisonUnderstanding V-Structures and the Role They Play in Causal Validation and Causal InferenceHow to Detect and Correct the Direction of Causal Links in a Directed Acyclic Graph that are Incorrect When Compared to the Underlying DataMar 19, 20241Mar 19, 20241
InTDS ArchivebyHan HELOIR, Ph.D. ☕️Maximizing AI Efficiency in Production with Caching: A Cost-Efficient Performance BoosterUnlock the Power of Caching to Scale AI Solutions with LangChain Caching Comprehensive OverviewMar 19, 202411Mar 19, 202411
InTDS ArchivebyVincent KocCreating Synthetic User Research: Using Persona Prompting and Autonomous AgentsUnlocking In-depth Analysis with Simulated Customers and Market Research Using Generative AI & Large Language ModelsMar 25, 20245Mar 25, 20245
InTDS ArchivebyAparna DhinakaranModel Evaluations Versus Task EvaluationsUnderstanding the difference for LLM applicationsMar 26, 2024Mar 26, 2024
InTDS ArchivebyJon FlynnFine-tune an Instruct model over raw text dataFine-tune a modern chatbot with minimal conversational data for under $10Mar 26, 2024Mar 26, 2024
InTDS ArchivebyMaxime LabonneCreate Mixtures of Experts with MergeKitCombine multiple models into a single MoEMar 27, 20248Mar 27, 20248
InTDS ArchivebyMarcel MoosbruggerRandom Walks Are Strange and BeautifulA journey through dimensions and lifeMar 27, 20249Mar 27, 20249
InTDS ArchivebyMatthew HarrisA Humanitarian Crises Situation Report AI Assistant: Exploring LLMOps with Prompt FlowExploring some techniques for safe deployment of LLM solutionsApr 1, 2024Apr 1, 2024
InTDS ArchivebyThomas ReidNeed for Speed: cuDF Pandas vs. PandasA comparative overviewApr 5, 20244Apr 5, 20244
InTDS ArchivebyNaser TamimiHow to Empower Pandas with GPUsA quick introduction to cuDF, an NVIDIA framework for accelerating PandasApr 7, 20248Apr 7, 20248
InSnowflake Builders Blog: Data Engineers, App Developers, AI/ML, & Data SciencebyLuke MerrickHow to Build a State-of-the-art Text Embedding ModelA deep dive into one of the core technologies behind Retrieval Augmented Generation (RAG)Mar 28, 20242Mar 28, 20242
InTDS ArchivebyCameron R. Wolfe, Ph.D.Graph-Based Prompting and Reasoning with Language ModelsUnderstanding graph of thoughts prompting and several variants…Jan 3, 20244Jan 3, 20244
Aniket HinganeWhy Entire AI field is headed towards AI AgentsGenAI is just the beginning, what comes next is AI Agent.Apr 3, 202422Apr 3, 202422
InArtificial Intelligence in Plain EnglishbyAnthony AlcarazUnlocking Self-Optimizing LLM Apps: Harnessing DSPy and SELF-DISCOVERArtificial intelligence software was used to enhance the grammar, flow, and readability of this article’s text.Mar 6, 20248Mar 6, 20248
InThoughts on Machine LearningbyFS NdzomgaObservability in LLM Apps using LangSmithI think it was Peter Drucker who said, ‘If you can’t measure it, you can’t improve it.’ This is particularly true for applications based on…Mar 23, 2024Mar 23, 2024
Weekly Startup Ideas21 real Micro Saas projects that are making money in 2024Real stuff from solo founders. None of them is ‘selling on Gumroad’.Apr 4, 20249Apr 4, 20249
InGoogle Cloud - CommunitybyIshmeet MehtaBuilding and Evaluating Basic and Advanced RAG Applications with LlamaIndex and Gemini-pro in…Retrieval Augmentation and Generation is an effective method to answer questions about your data. In this two-part series, we will see how…Mar 5, 20242Mar 5, 20242