InBetter ProgrammingbyWenqi GlantzFine-Tuning Your Embedding Model to Maximize Relevance Retrieval in RAG PipelineNVIDIA SEC 10-K filing analysis before and after fine-tuning embeddingsSep 12, 2023Sep 12, 2023
Alden Do RosarioLangchain is NOT for production use. Here is why ..From hallucinations to lack of citations and sources. To data ingestion issues to query relevancy shortfalls. From MLOps to mounting…Nov 1, 202355Nov 1, 202355
InPython in Plain EnglishbyAshhadul IslamEvaluating the Suitability of CPU-based LLMs for Online UsageAre CPU based LLMs really ready for online usage?Nov 22, 2023Nov 22, 2023
InAI AdvancesbyFabio MatricardiLLM wants… to break free!Breaking Barriers: Democratizing AI with Free Access to Large Language Models. Learn how to get your free access to AI models and build…Sep 21, 20232Sep 21, 20232
InAI AdvancesbyFabio MatricardiGet Started with Generative AI Using the Open Source Hugging Face HubLearn How to Use Large Language Models Like ChatGPT Without Coding SkillsNov 21, 2023Nov 21, 2023
Agent Issue“Chain of Density” for Effective Text Summarization with Large Language ModelsIf you ever played with LLMs to perform text summarization, you’d know that condensing large volumes of information into digestible…Nov 8, 20232Nov 8, 20232
Fabio MatricardiBreaking Language Barriers with Zephyr-7b: a model you can run everywhere!Experience the Incredible Capabilities of a Brand New Multilingual Language ModelOct 19, 20237Oct 19, 20237
Ryan NguyenChoosing the Right Embedding Model: A Guide for LLM ApplicationsOptimizing LLM Applications with Vector Embeddings, affordable alternatives to OpenAI’s API and why we move from LlamaIndex to LangchainJun 6, 202314Jun 6, 202314
RubentakLangChain 🦜🔗: Using different LangChain chains to write a new episode for The Office USIn this article, I will show you how to use different chains in LangChainMay 15, 2023May 15, 2023
