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Mistral AI unveils LLM rivalling major players

AI News

Mistral AI, a France-based startup, has introduced a new large language model (LLM) called Mistral Large that it claims can compete with several top AI systems on the market. Mistral AI stated that Mistral Large outscored most major LLMs except for OpenAI’s recently launched GPT-4 in tests of language understanding.

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Alibaba Marco-o1: Advancing LLM reasoning capabilities

AI News

Alibaba has announced Marco-o1, a large language model (LLM) designed to tackle both conventional and open-ended problem-solving tasks. Photo by Alina Grubnyak ) See also: New AI training techniques aim to overcome current challenges Want to learn more about AI and big data from industry leaders?

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Optimizing AI Performance: A Guide to Efficient LLM Deployment

Analytics Vidhya

To unlock such potential, businesses must master […] The post Optimizing AI Performance: A Guide to Efficient LLM Deployment appeared first on Analytics Vidhya. Imagine a world where customer service chatbots not only understand but anticipate your needs, or where complex data analysis tools provide insights instantaneously.

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How LLM Unlearning Is Shaping the Future of AI Privacy

Unite.AI

The rapid development of Large Language Models (LLMs) has brought about significant advancements in artificial intelligence (AI). From automating content creation to providing support in healthcare, law, and finance, LLMs are reshaping industries with their capacity to understand and generate human-like text.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Infusing advanced AI features into reports and analytics can set you apart from the competition.

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Efficient LLM Workflows with LangChain Expression Language

Analytics Vidhya

Introduction The advancements in LLM world is growing fast and the next chapter in AI application development is here. Initially known for proof-of-concepts, LangChain has rapidly evolved into a powerhouse Python library for LLM interactions.

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30+ LLM Interview Questions and Answers

Analytics Vidhya

Introduction Large Language Models (LLMs) are becoming increasingly valuable tools in data science, generative AI (GenAI), and AI. LLM development has accelerated in recent years, leading to widespread use in tasks like complex data analysis and natural language processing.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment. Save your seat today!