Farzad Sunavalafarzzy.hashnode.dev·Nov 3, 2024Unlocking Multimodal RAG: A Guide to Using Cohere Embed with Azure AI SearchIn today's digital landscape, organizations are dealing with an ever-growing collection of both textual and visual data. The ability to effectively search across these different modalities has become crucial for building modern enterprise application...1 like·262 readscohere
Farzad Sunavalafarzzy.hashnode.dev·Oct 22, 2024Step-By-Step Guide to Measuring Relevance in Azure AI SearchMeasuring relevance is a crucial part of any retrieval system, whether you're building an eCommerce platform, an enterprise search application, or a Retrieval-Augmented Generation (RAG) solution. Accurately assessing and optimizing search results is ...231 readssearch relevance
GreenFluxblog.greenflux.us·Sep 6, 2024Talk To Your SpreadSheet: Apps Script + Cohere AIAI can be a huge productivity boost, but it can also become a new bottleneck if it doesn't have existing access to your data. Bouncing back and forth between tabs and pasting sheets data into ChatGPT might solve one problem, but it creates another. I...1 like·169 readsllm
Matt MulvaneyforHot off the Application Expressmattmulvaney.hashnode.dev·Jul 1, 2024Build an OCI Generative AI Chatbot with PyCharm & RAGNote this blog builds on concepts found in the OCI 2024 Generative AI Professional Certification and Course. I added additional steps to resolve issues I encountered following the guides. This course is fantastic & Oracle offer a free certificationpr...2 likes·195 readschatbot
Matt MulvaneyforHot off the Application Expressmattmulvaney.hashnode.dev·Jun 24, 2024Jupyter Notebook for OCI Generative AI on the CloudThis blog sets up Jupyter Notebook on an OCI computer machine using docker. It then shows you how to configure your credentials to call the OCI Generative AI service. It also describes configuration of SSL and custom domains to access your notebook. ...82 readsOCI
Harshadharshadsuryawanshi.hashnode.dev·Mar 23, 2024Building a Simple Full Stack RAG-Bot for Enterprises Using React, Qdrant, LangChain, Cohere and FastAPI(First published on Medium) Introduction The journey from prototyping to production in AI-powered applications is filled with challenges, particularly when transitioning from convenient development tools like Streamlit and Gradio to more robust, sca...qdrant
Edward Hublog.vextapp.com·Mar 14, 2024Vext v1.5: New Models and ImprovementsExciting news – we’ve rolled out v1.5! It’s jam-packed with the latest LLMs from the biggest names in AI. Now, you've got the power of high-end AI tech right at your fingertips, all without the hassle of managing complex AI systems. Let’s check out w...85 reads#anthropic
MindsDBforMindsDB Blogmindsdb.com·Mar 11, 2024Updated June 2024: a Comparative Analysis of Leading Large Language ModelsNavigating the LLM Landscape: A Comparative Analysis of Leading Large Language Models As the demand for advanced natural language processing capabilities continues to surge, the emergence of large language models (LLMs) has become a pivotal milestone...31.5K readsllm
Mathew PregasenforFern Blogblog.buildwithfern.com·Feb 5, 2024From handwritten to generated—Cohere's SDK journeyCohere is one of the leading companies in today’s AI rush. Cohere is known for its Retrieval Augmented Generation (RAG) toolkit that allows LLMs to accurately answer questions and perform tasks. Developers use Cohere’s API to accomplish this—and, oft...sdk
DataOps Labsblog.dataopslabs.com·Dec 10, 2023AWS BedRock - Boto3 Demo - Cohere ModelCohere offers a range of text generation and representation models designed for diverse business applications. The Command model, with 52 billion parameters, excels in tasks such as chat, text generation, and summarization. A lighter version, Command...AWS Bedrock Learning SeriesAWS
