PinnedPublished inTowards Data ScienceWhy Representation Finetuning is the Most Efficient Approach Today?A Step-by-Step Guide to Representation Finetuning LLAMA3May 2610May 2610
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PinnedPublished inLevel Up CodingUnleash 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
PinnedPublished inLevel Up CodingUpgrade Your Retrieval Augmented Generation with Self-RAGA new research method teaching LLMs to retrieve, generate, and critique through self-reflectionNov 7, 20234Nov 7, 20234
Published inTowards Data ScienceCombining ORPO and Representation Fine-Tuning for Efficient LLAMA3 AlignmentAchieving Better Results and Efficiency in Language Model Fine-TuningJun 241Jun 241
Published inLevel Up CodingLost In Prompts ? How Fabric Simplifies Daily Interactions with Any AIA practical guide to installing and configuring Fabric with Llama3 for enhanced productivityApr 28Apr 28
Published inTowards Data ScienceBuilding Local RAG Chatbots Without Coding Using LangFlow and OllamaA Quick Way to Prototype RAG Applications Based on LangChainApr 85Apr 85
Published inLevel Up CodingHow I Analyzed My Finance With A Local AIA personalized and secure approach to analyzing financial data, providing tailored insights and recommendationsApr 77Apr 77
Published inLevel Up CodingThe Future of Financial AI: Stock Sentiment Analysis with SLIM ModelsHow to perform complex multi-step analytics using LLMWare on CPUFeb 271Feb 271
Published inTowards Data ScienceHow to Chat with Any Open Source LLM for Free with Your iPhoneBuilding an Open Source “ChatGPT” App on iPhone Using Ollama and Google Colab Free T4 GPUFeb 53Feb 53