Did you know nearly half of consumers abandon their entertainment experience due to difficulty finding content? Media and entertainment companies are reinventing how they connect with audiences, leveraging the power of GenAI to transform content search, discovery, and personalization. Our latest article by Cohere experts Craig Meadow and Mitchell Wong explores how M&E companies are doing it. Discover how large language models like Cohere Command R and Embed are streamlining up to 60% of the search and validation process, providing deep insights into subscriber preferences and enhancing the user experience. Learn about four ways M&E companies are harnessing LLMs to: - Surface the right content - Improve personalization and localization - Enable dynamic engagement - Streamline research for new content planning and development Don't miss out on how GenAI is putting the opportunity for seamless, personalized experiences within reach. Click the link to read more and stay ahead in the evolving M&E landscape. https://lnkd.in/ezdittae
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We’re excited to launch Command R+, a state-of-the-art RAG-optimized large language model (LLM) designed to tackle enterprise-grade workloads. We’re also proud to announce a new collaboration with Microsoft Azure where our latest models will be available first starting today and on other cloud platforms in the coming weeks to help accelerate enterprise AI adoption. Command R+ joins our R-series of scalable LLMs focused on balancing high efficiency with unparalleled accuracy, enabling businesses to move beyond proof-of-concept, and into production with AI. Our latest model excels at key business-critical capabilities like advanced Retrieval Augmented Generation (RAG) with citation to reduce hallucinations, multilingual coverage in 10 key languages to support global business operations, and Tool Use to automate sophisticated business processes. We achieve this while providing the same commitment to data privacy and security that we’re known for. Read more: https://lnkd.in/edwE3nTJ
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Experience the seamless integration of Cohere models with Amazon Web Services (AWS) through the first release of Cohere-on-AWS notebooks. These notebooks offer best practices on prompting, tool integrations, and more for your GenAI projects.
🥳 Super excited about the first release of Cohere-on-AWS! If you need guidance and best-pratices of using Cohere models in Amazon Web Services (AWS), look no further than this amazing repo. What do you get (for now)... 🕵️♀️ Exploring LangChain Retrieval Algorithms: super efficient use of Embed-english and Command models, alongside FAISS and ChromaDB, for RAG flows. 🧑🏫 Prompting Guide 101 For Cohere Command R and R+: This is your source for best in class prompting of Cammand models. 👩🔧 Tool Use with Cohere on Bedrock: Last but not least, Tool use with Bedrock's Converse API. BIG shout out to Breanne Warner, Niithiyn Vijeaswaran and Preston Tuggle for creating and collecting these amazing resources in a single repo. AFAIK, they are not done with it! More to come! What are you waiting for, go check it out! Github: https://lnkd.in/g-BAwMqx #GenAI #GenerativeAI #MachineLearning #RAG #AWS #Cohere #FoundationModels #Bedrock #LLM #DataScience
GitHub - aws-samples/Cohere-on-AWS
github.com
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Implementing LLMs successfully starts with a strategic approach. By leveraging usage and performance analysis as well as addressing safety and ethical concerns, product owners can build robust AI solutions that deliver significant value. Our latest article underscores the importance of continuous improvement and responsible AI development. The key takeaway for product owners is to stay informed, adaptable, and proactive in their approach to AI. By doing so, they can harness the power of LLMs to drive innovation and efficiency while ensuring that their AI solutions are both effective and ethical. Learn more from Director of Product, Nick Jakobi: https://lnkd.in/evBvcU_U
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AI security is one of the biggest challenges in deploying LLM solutions. It’s not just about understanding threats; it’s about building a collaborative and secure environment for all. In our latest piece, we sit down with Cohere's Staff Security Engineer, Ads Dawson, to discuss cutting-edge strategies for mitigating cybersecurity risks in generative AI. Discover the crucial role of red teaming and more! Read now and stay ahead in AI security. https://lnkd.in/d9gjKYVE
Tackling AI Security Risks With Eyes Wide Open
cohere.com
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Explore the capabilities of semantic search to develop and deploy your optimized RAG app with MongoDB Atlas and Cohere Command R+. Richmond Alake and David Stewart will guide you through the seamless integration of these tools and applications for your business needs. Tune in on July 25 at 12pm ET: https://lnkd.in/g-FwpCgc
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Our CEO and co-founder Aidan Gomez recently spoke with CNBC highlighting his previous work as a co-author of the seminal “Attention is All You Need” paper and how Cohere is focused on leading the way for highly-secure and scalable enterprise AI solutions. As adoption accelerates, AI technology will have a transformative impact on businesses powering new product experiences for customers and employees. This has the ability to significantly boost productivity and efficiency across industries. Watch the discussion: https://lnkd.in/geGMpswX Read the full interview: https://cnb.cx/3Lk9Jy5
How Cohere CEO Aidan Gomez Says AI Will Directly Profit Companies
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Neeral Beladia, ML Engineer at Cohere, will be speaking at Arize:Observe as part of the Innovators track. Join the session as he shares the intricacies of building GenAI models for enterprise use cases. The event takes place on July 11 at 12pm in San Francisco. Register for the session: https://lnkd.in/gK7zq3Mw
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Learn how enterprise generative AI is powering automation in our upcoming webinar. Ivan Zhang, Co-Founder of Cohere, and Vijay Rayapati, CEO of Atomicwork will discuss automation workflows and applying them across business processes. Register here to join us on July 23 at 2:00 pm ET/11:00 am PDT: https://lnkd.in/gUYy6WZF
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Generative AI is currently the top AI solution for organizations, according to Gartner. “Using large language models (LLMs) in businesses is challenging but rewarding, requiring overcoming doubts and strict security concerns”, says Cohere Engineering Program Manager Lewis Stott. “Embracing LLMs is essential for staying competitive and boosting productivity.” To succeed, Stott recommends a focus on: - Gaining organizational support - Protecting data privacy and security - Improving data quality - Scaling usage across the organization - Continuously learning and improving Ready to unlock the power of LLMs? Learn how from Cohere expert Lewis Stott: https://lnkd.in/gQqzXUar
