Maker Spotlight: Using https://t.co/oqhyZVQaqI with RAG in Cosona App https://t.co/5bro4JIKHF
— Cohere (@cohere) 21 décembre 2023
Maker Spotlight: Using http://
Co.Chat with RAG in Cosona App
@cohere
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Using RAG in Cosona App: Maker Spotlight
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Coral Hackathon: Building AI Chatbots with RAG Technology
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Join our community champions Sonam Gupta and Arjun Patel in a live stream chat with Jacky Liu, a participant in our recent Coral hackathon. Jacky will show us how his team used the Chat with RAG endpoint to build Cosona, a chatbot emulating personas based on the user's documents.
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Quantizing Large LLMs Without Performance Drop
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How do you quantize LLMs with tens of billions of parameters while avoiding the sharp drop in performance seen when quantizing models > 6B params?
— Cohere (@cohere) 19 décembre 2023
Listen to @aahmadian_ highlight a correct training optimization recipe (which leads to no drop in performance when quantizing vs. a… pic.twitter.com/iU1mliAjelHow do you quantize LLMs with tens of billions of parameters while avoiding the sharp drop in performance seen when quantizing models > 6B params? Listen to @aahmadian_ highlight a correct training optimization recipe (which leads to no drop in performance when quantizing vs. a
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Software Portability Myths and Machine Learning Progress Implications
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Watch @fraser_mince present “The Grand Illusion: The Myth of Software Portability and Implications for ML Progress” at #NeurIPS2023
— Cohere (@cohere) 18 décembre 2023
Work with @dzungdinhh @jonas_kg @ProfNeilT @sarahookr at @CohereForAI and @mit_ide
Read more: https://t.co/JWjzYYFFa0 pic.twitter.com/qvvobaWLSVWatch @fraser_mince present “The Grand Illusion: The Myth of Software Portability and Implications for ML Progress” at #NeurIPS2023 Work with @dzungdinhh @jonas_kg @ProfNeilT @sarahookr at @CohereForAI and @mit_ide Read more:
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Cohere RAG Chatbot with Quickstart Connectors Guide
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Cohere Chat with RAG comes with quickstart connectors – around 100 pre-built connector implementations, including Slack, Elastic, GitHub, Google Drive, and more. In this LLM University chapter, learn about RAG with quickstart connectors. https://
txt.cohere.com/rag-chatbot-qu
ickstart/
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Web Grounding Reduces LLM Hallucinations in Knowledge Assistant
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Model hallucinations are a big concern for organizations adopting LLM-based systems. This is why we’ve introduced a web grounding for Coral, our knowledge assistant. Watch NLP expert @itsSandraKublik demonstrate how it works. pic.twitter.com/4JLdMJEG7H
— Cohere (@cohere) 24 novembre 2023Model hallucinations are a big concern for organizations adopting LLM-based systems. This is why we’ve introduced a web grounding for Coral, our knowledge assistant. Watch NLP expert @itsSandraKublik demonstrate how it works.
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Building RAG-Powered Chatbots with Chat Embed Rerank
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The Chat endpoint with RAG is easy to use, but it's also customizable. In document mode, the endpoint is highly modular. In this LLM University chapter, learn how to build a RAG-powered chatbot with the Chat, Embed, and Rerank endpoints.
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New Fine-Tuning Suite Enables Custom AI Models in 30 Minutes
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We are excited to introduce our comprehensive fine-tuning suite. Businesses can now train and deploy a unique chat, reranking, or multi-label classification model in less than 30 minutes.
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Cohere Launches Embed v3 State-of-the-Art Text Embedding Model
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Text embedding models play an important role in RAG systems and enterprise search applications. Join @Nils_Reimers and @SerranoAcademy at 11am ET today to learn more about our recently released state-of-the-art text embedding model, Embed v3. https://
info.cohere.ai/embed-v3-webin
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AWS reInvent Panel on Generative AI Innovation
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Still planning your schedule for #AWSreInvent? Then mark your calendars as Allegiant Stadium becomes the epicenter of AI innovation. Join @aidangomez and other luminaries pioneering the generative AI revolution in this highly-anticipated panel. Sign up now,