We continuously explore new frontiers in artificial intelligence and technology.
Retrieval-Augmented Generation (RAG) is a technique in natural language processing that allows users to provide external knowledge to an LLM in order to give the model access to information that it has not previously been trained on. This article breaks down the core components of RAG, and discusses how this technique can benefit enterprise AI strategies.
September 26, 2024
In the third installment of Clairo AI's 'Deep Dive into LLMs' series, we dive into Cohere, a Canadian-born AI platform for enterprise. Cohere aims to stand out in the artificial intelligence industry against other key players, offering enterprise users access to a secure, cloud-agnostic platform. Their models are specifically designed to optimise business efficiency in order to improve outcomes and streamline operations.
Agentic AI is driving the evolution of enterprise AI, transforming how businesses perform crucial operations. With Clairo AI, businesses can harness the power of Agentic AI to foster growth, improve customer experiences, and streamline operations, ensuring they remain at the forefront of technological progress. So, what are Agentic AI systems, how do they differ from Generative AI, and what are their core features? Learn all about AI agents and how you can leverage them in your industry.
In the second instalment of Clairo AI’s 'Deep Dive into LLMs' Series, we dive into Mistral AI's models. Having taken the industry by storm due to their range of sizes and potential for scalability, companies across a variety of sectors are increasingly adopting Mistral's large language models to tackle a plethora of business operations. Read on to discover the pros and cons of Mistral's models, and the specific business cases they can be used for.
July 9, 2024
In the first of Clairo’s Deep Dive into LLMs Series, we dive into Meta’s state-of-the-art LLaMA models. Known for their potential to accelerate innovation for businesses across a variety of sectors and automating processes, LLaMA models also face a range of limitations. Read on to discover the pros and cons of Meta's LLaMA models, and specific business cases they can be used for.
June 11, 2024
AI agents are valuable tools for businesses across all sectors that leverage the power of artificial intelligence to automate tasks, enhance efficiency, and augment human capabilities in various domains. Discover the benefits and use cases of agents, as well as how you can use Clairo's AI platform to build custom agents for your specific business needs.
A private LLM is deployed and managed within a secure environment, allowing full control over data flow and storage, while a public LLM is accessed through an API on another company's server, requiring businesses to relinquish control over their data. Choosing between private and public LLMs depends on a business's data privacy strategy, computational costs, technical capabilities, and desire to stay updated with industry advancements. Private LLMs offer more data privacy and control, but come with higher computational costs and require technical expertise. Public LLMs are more cost-effective and require less technical expertise, but may compromise data control.
The journey of parenthood, with its unique challenges and questions, inspired Meg Faure, founder of Parent Sense, to create aiah, a digital parenting assistant. Despite early challenges with AI technology, the advent of advanced models like ChatGPT catalyzed the development of aiah. Utilizing Retrieval Augmented Generation (RAG) for accurate, domain-specific advice, aiah represents a breakthrough in providing reliable, on-demand parenting support. Accessible across multiple platforms, aiah ensures user privacy and precision, highlighting Clairo AI's innovation in leveraging AI to address the complex needs of modern parents.
Clairo AI, a premier net-zero Generative AI platform, is revolutionising the tech industry by harmonising high-performance AI with environmental stewardship. Running on 100% renewable energy from Iceland, Clairo AI minimises its carbon footprint while maximising efficiency. By embodying Green AI principles and focusing on sustainable AI, Clairo AI demonstrates that technological innovation and environmental responsibility can coexist, setting a new standard for the industry and contributing to a sustainable future.
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