NovitaAInovita.hashnode.dev·Apr 19, 2024How to Create Your LLM With LangChain: a Step-by-Step Guidenlock the secrets of building your own language model with LangChain. Simplify the process, integrate with ease, and unleash the power of AI development. Introduction Large language models (LLMs) like OpenAI’s GPT-3, Google’s BERT, and Meta’s LLaMA a...DiscussArtificial Intelligence
Kevin NaidooProkevincoder.co.za·Apr 17, 2024Build a production-grade RAG or similarity search using Qdrant and LangchainIn a recent article, I wrote about using Langchain and FAISS to build a RAG system. FAISS, however, is in memory and not scalable when you want to update the training data constantly in real-time. A great alternative to FAISS is Qdrant, and in this a...Discussqdrant
Teqnovosteqnovosuk.hashnode.dev·Apr 15, 2024Everything to Know About the Midjourney Web AppGenerative AI is a modern artificial intelligence technology that is transforming how certain processes are carried out. From automating content creation to streamlined customer service and accurate image generation, generative AI applications can do...Discussmidjourney web app
Edgar AguilarforReservamos Engineeringengineering.reservamos.tech·Apr 11, 2024LangGraph con Multi-AgenteDurante el desarrollo de nuestro chatbot, hemos añadido varias funcionalidades. Inicialmente, solo generaba una URL para que el usuario pudiera visualizar los viajes disponibles según sus necesidades (a lo que nos referiremos como URL de viaje). Ahor...Discuss·45 readslangchain
Prarabdha Srivastavasriprarabdha.hashnode.dev·Apr 8, 2024LangGraph for Beginners: A new way to build AI AgentsIntroduction LangGraph is built on top of LangChain. One of the common patterns we see when people are creating more complex LLM applications is the introduction of cycles into the runtime. These cycles often use the LLM to reason about what to do ne...Discuss·1 likeAI
Alvin Leealvinslee.hashnode.dev·Apr 8, 2024How to Implement RAG: A Simple WalkthroughHaving the correct data to support your use case is essential to a successful implementation of LLMs in any business. While most out-of-the-box LLMs are great at general tasks, they can struggle with specific business problems. They didn’t train on ...Discusslarge language models
Jahnvi Sikligarjahnviwritesaboutai.hashnode.dev·Apr 7, 2024Chat with PDFIn this fast-paced life, we have all pondered the possibility of extracting valuable insights from documents on the go. Despite attempts to glean key insights through keyword filtering, we often overlook finer details. The desire to engage in dialogu...Discuss·66 readsWomenWhoTech
Rutam Bhagatrutam.hashnode.dev·Apr 4, 2024The RAG Triad: Guide to Evaluating and Optimizing RAG SystemsRAG systems combine the power of retrieval mechanisms and language models, and enable them to generate contextually relevant and well-grounded responses. However, evaluating the performance and identifying potential failure modes of RAG systems can b...Discuss·10 likesMachine Learning
Rutam Bhagatrutam.hashnode.dev·Apr 3, 2024Evaluating Retrieval Augmented Generation Pipelines with LlamaIndex and TruLensRecently RAG pipelines have emerged as most useful technique for building question-answering systems. By combining information retrieval and language generation, RAG pipelines can provide relevant and context-aware responses to user queries. However,...Discuss·10 likesMachine Learning
Ahmed Ismailsom3aware.hashnode.dev·Apr 3, 2024Streamlining the Hiring Process with OpenAI and LangChain Part 2Introduction In the first part, we discussed how to empower LLMs and LangChain to streamline the hiring process, and you all might be wondering, what's langchain? What's LLM? I could tell you to google them, but you might find them a bit complex to ...DiscussStreamlining the Hiring Process with OpenAI and LangChainllm
