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Fateh Ali AamirHow to Set up a Free (Local) Generative AI ApplicationToday, we’re going to create a completely free Generative AI application that can run locally on your computer offline. We will be doing…Jun 3, 20241Jun 3, 20241
InTDS ArchivebySilvia OnofreiRelation Extraction with Llama3 ModelsEnhanced relation extraction by fine-tuning Llama3–8B with a synthetic dataset created using Llama3–70BApr 26, 20244Apr 26, 20244
InTDS ArchivebyMaxime LabonneFine-tune Llama 3 with ORPOA cheaper and faster unified fine-tuning techniqueApr 19, 20248Apr 19, 20248
MingComparing LangChain and LlamaIndex with 4 tasksLangChain v.s. LlamaIndex — How do they compare? Show me the code!Jan 11, 202411Jan 11, 202411
InTDS ArchivebyMarcello PolitiDeploy Tiny-Llama on AWS EC2Learn how to deploy a real ML application using AWS and FastAPIJan 12, 20243Jan 12, 20243
InData Science at MicrosoftbyJames NguyenForget RAG: Embrace agent design for a more intelligent grounded ChatGPT!The Retrieval Augmented Generation (RAG) design pattern has been commonly used to develop a grounded ChatGPT in a specific data domain…Nov 18, 202321Nov 18, 202321
InTDS ArchivebyFatih DemirciInside GPT — I : Understanding the text generationA simple explanation to the model behind ChatGPTAug 21, 20237Aug 21, 20237
InTDS ArchivebyLeonie MonigattiImproving Retrieval Performance in RAG Pipelines with Hybrid SearchHow to find more relevant search results by combining traditional keyword-based search with modern vector searchNov 28, 202310Nov 28, 202310
InTDS ArchivebyLuís RoqueThe Power of Retrieval Augmented Generation: A Comparison between Base and RAG LLMs with Llama2A deep dive into tailoring pre-trained LLMs for custom use cases using a RAG approach, featuring LangChain and Hugging Face integrationNov 29, 20234Nov 29, 20234
InTDS ArchivebyLuís RoqueDecoding LLMs: Creating Transformer Encoders and Multi-Head Attention Layers in Python from ScratchExploring the intricacies of encoder, multi-head attention, and positional encoding in large language modelsDec 1, 20235Dec 1, 20235
Tam Nguyen9 Methods to Enhance the Performance of a LLM RAG ApplicationIt is easy to prototype your first LLM RAG (Retrieval Augmented Generation) application, e.g. using this chat-langchain template with below…Nov 20, 20231Nov 20, 20231
Peter Lawrence, answering users' data questionsEncouraging results for Knowledge Graph Extraction by LLM Ontology-promptingA demonstration of the use of an LLM as an Extract-Load-Transform (ELT) engine from unstructured text to a Knowledge Graph by prompting…Jul 18, 20233Jul 18, 20233
InTDS ArchivebyAnthony AlcarazEmbeddings + Knowledge Graphs: The Ultimate Tools for RAG SystemsThe advent of large language models (LLMs) , trained on vast amounts of text data, has been one of the most significant breakthroughs in…Nov 14, 202311Nov 14, 202311
InLevel Up CodingbyYanli LiuUnleash Mistral 7B’ Power: How to Efficiently Fine-tune a LLM on Your Own DataNavigating the world of model fine-tuning optimizations, featuring LoRA and PEFT.Oct 12, 202316Oct 12, 202316
InThoughts on Machine LearningbyFS NdzomgaSpaCy LLM Is So Robust… Do We Still Need LangChain ?In the past few months, I have been spending a lot of time playing with LangChain. The package is amazing for quickly prototyping…Sep 24, 20237Sep 24, 20237
InTowards AIbyEduardo MuñozFine-Tuning a Llama-2 7B Model for Python Code GenerationA demo on how to fine-tune the new Llama-2 using PEFT, QLoRa, and the Huggingface utilitiesAug 10, 20237Aug 10, 20237
FS NdzomgaLangChain Is The Past, Here Is The Future Of LLM-based AppsI recently came across EmbedChain, a framework for building chatbots using LLMs that can interact with various types of data.Aug 28, 202327Aug 28, 202327
InDataDrivenInvestorbyDebmalya BiswasGenerative AI — LLMOps Architecture PatternsDeploying Large Language Models (LLMs) in the EnterpriseJun 25, 20233Jun 25, 20233
Haifeng LiA Tutorial on LLMGenerative artificial intelligence (GenAI), especially ChatGPT, captures everyone’s attention. The transformer based large language models…Sep 14, 202311Sep 14, 202311
