Vinayak Gavariyavinayakgavariya.hashnode.dev·Nov 17, 2024Ollama: a step-by-step guide to running open-source models locally on your machinehey everyone! today, we’ll explore Ollama—what it is, how it differs from LLaMA, how it can be helpful, the models it supports, its limitations, and the possibilities it opens when paired with cloud computing. let’s break it all down in simple terms....Discussollama
Ahmad W Khanblog.ahmadwkhan.com·Nov 16, 2024Real-Time AI Applications with Open-Source LLMsThe landscape of real-time AI applications has been transformed by open-source Large Language Models (LLMs) like LLaMA, Falcon, and GPT-J. These models, when combined with powerful tools like Hugging Face, LangChain, and Ollama, enable developers to ...Discussllm
NovitaAInovita.hashnode.dev·Nov 9, 2024Discover the Power of Llama 3 Uncensored ModelsKey Highlights Uncensored LLMs: LLaMA 3 Uncensored operates with fewer content restrictions, offering greater creative freedom and deeper insights into complex topics. Advanced Language Understanding: With a SuperGLUE score of 89.2, LLaMA 3 excels ...DiscussLLaMa
Spheron NetworkforSpheron's Blogblog.spheron.network·Nov 8, 2024Multimodal AI: LLaMA 3.2 90B Vision vs. GPT-4Artificial Intelligence (AI) is evolving rapidly, and one of the most exciting frontiers in this field is multimodal AI. This technology allows models to process and interpret information from different modalities, such as text, images, and audio. Tw...Discuss·45 readsAI (Artificial Intelligence)AI
Spheron NetworkforSpheron's Blogblog.spheron.network·Nov 5, 2024Implementing Advanced Retrieval-Augmented Generation (RAG) with Local Infrastructure Using Meta’s Llama-3This guide explores setting up an Advanced Retrieval-Augmented Generation (RAG) system using the newly released Llama-3 model from Meta. This hands-on tutorial provides a step-by-step approach for creating an RAG pipeline that processes research pape...Discuss·34 readsLLMRAG
NovitaAInovita.hashnode.dev·Oct 24, 2024Decoding Llama 3 vs 3.1: Which One Is Right for You?Key Highlights Generative AI Advancements: Meta’s Llama 3.1 model introduces significant improvements over Llama 3, especially in problem-solving capabilities, context length, and multilingual support. Model Recommendations:Llama 3.1 70B is ideal f...Discussllm
Ayman Patelaymanace2049.hashnode.dev·Oct 24, 2024🔍 Observability in LLMsObservability is corner stone for any system. When things break, all the information that you have (be it log, traces, metric etc.) aid you to find root causes quickly and help remediate the issue. LLMs break; due to hallucinations, not having enough...DiscussProgrammingllm
NovitaAInovita.hashnode.dev·Oct 23, 2024Enhance Your Applications with Llama 3 API AccessKey Highlights Llama 3 Model Overview:Meta’s Llama 3 family includes advanced large language models (LLMs) in 8B and 70B sizes, optimized for dialogue tasks and text generation. Performance Evaluation: Llama 3 surpasses open-source models like Mist...Discussllm
Fotie M. Constantblog.fotiecodes.com·Oct 23, 2024RAG vs. Fine-Tuning: Which Is Best for Enhancing LLMs?When it comes to enhancing the capabilities of large language models (LLMs), two powerful techniques stand out: RAG (Retrieval Augmented Generation) and fine-tuning. Both methods have their strengths and are suited for different use cases, but choosi...Discuss·10 likes·171 readsllm
Tarannumtarannum.hashnode.dev·Oct 23, 2024Building your own basic RAG Pipeline with Langchain and Llama3 - Part 1In simple words, a RAG pipeline, retrieves texts from a retriever, asks a text generation model to augment it’s response. Describing more, it retrieves relevant documents or data chunks from a large corpus using a retriever, then feeds this informati...Discuss·1 like·137 readsRAG
