Discover how Large Language Models (LLMs) are transforming retail! From enhanced customer service to streamlined logistics, GenAI could unlock $660 billion for retailers. Our experts explore how to use advanced RAG pipelines and function calling for AI agents in retail. Delve
@cohere
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Cohere Named CNBC Disruptor 50 for Enterprise AI Solutions
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We’re thrilled to be included in @CNBC
’s Disruptor 50 list for the second year in a row! AI will have a transformative impact across the enterprise and Cohere is committed to delivering practical solutions that address real world challenges for businesses today. -
Cohere Hiring Talented Team for AI Mission
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We’ve built an extremely talented team to help support this mission, come work with us: https://
cohere.com/careers -
Fern Partnership Delivers Updated Java SDK Documentation
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We’re excited to work with @buildwithfern to produce an always-up-to-date, well-documented Java SDK. Stay tuned for more language support in the coming weeks.
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Get Started with Cohere Java SDK in Gradle
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You can start with gradle by adding `implementation 'com.cohere:cohere-java:+'` to your `build.gradle`, or use any Java IDE or build tool. GitHub repository link: https://
github.com/cohere-ai/cohe
re-java
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Cohere Adds Official Java Support for Developers
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Cohere now officially supports Java. Here’s a short video to help you get started: pic.twitter.com/C2pUmcQ8UT
— Cohere (@cohere) 13 mai 2024Cohere now officially supports Java. Here’s a short video to help you get started:
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Cohere Build Day: Enterprise AI Solutions with Command R
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Last chance to register for Cohere Build Day! Our tour ends tomorrow in San Francisco. Come and create innovative solutions with Command R and R+. This is your opportunity to build enterprise-grade knowledge systems and multilingual customer chatbots. Don't miss out on this
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Cohere Command R Fine-tuning Now Available on AWS SageMaker
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Command R with fine-tuning is accessible through the Cohere platform, @awscloud SageMaker, and soon to come on additional platforms! https://
aws.amazon.com/marketplace/pp
/prodview-2czs5tbao7b7c
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Command R Fine-Tuning Reduces Inference Costs by 15x
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Maximize efficiency and speed with Command R fine-tuning. This reduces inference costs by 15x compared to larger models and achieves faster throughput, lower latency and superior performance.
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Command R Fine-Tuning Achieves Best Results Finance Research
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We looked at how Command R with fine-tuning works across industries like finance and scientific research (R&D) with highly specialized terminology and found the model delivers best-in-class results.