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Google launches Veo and Imagen 3 generative AI models

AI News

Google Cloud has launched two generative AI models on its Vertex AI platform, Veo and Imagen 3, amid reports of surging revenue growth among enterprises leveraging the technology. ” Knowledge sharing platform Quora has developed Poe , a platform that enables users to interact with generative AI models.

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Andrej Karpathy Praises DeepSeek V3’s Frontier LLM, Trained on a $6M Budget

Analytics Vidhya

Last year, the DeepSeek LLM made waves with its impressive 67 billion parameters, meticulously trained on an expansive dataset of 2 trillion tokens in English and Chinese comprehension. Setting new benchmarks for research collaboration, DeepSeek ingrained the AI community by open-sourcing both its 7B/67B Base and Chat models.

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Top 5 Generative AI Stocks to Watch in 2025

Analytics Vidhya

Generative AI witnessed remarkable advancements in 2024. Top generative AI companies like OpenAI, Google and Anthropic lead the LLM race with architecting and improving LLMs. Companies like Nvidia complimented the GenAI revolution with necessary hardware serving as the computational backbone.

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Claude 3.7 Sonnet vs Grok 3: Which LLM is Better at Coding?

Analytics Vidhya

Sonnet LLM, it’s here to shake the world of generative AI even more. Sonnet vs Grok 3: Which LLM is Better at Coding? Since last June, Anthropic has ruled over the coding benchmarks with its Claude 3.5 Today with its latest Claude 3.7 Both […] The post Claude 3.7 appeared first on Analytics Vidhya.

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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.

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Step-by-Step Guide to Integrate LLM Agents in an Organization

Analytics Vidhya

Introduction The rise of large language models (LLMs), such as OpenAI’s GPT and Anthropic’s Claude, has led to the widespread adoption of generative AI (GenAI) products in enterprises. Organizations across sectors are now leveraging GenAI to streamline processes and increase the efficiency of their workforce.

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A Guide to 400+ Categorized Large Language Model(LLM) Datasets

Analytics Vidhya

And to top it off, this collection […] The post A Guide to 400+ Categorized Large Language Model(LLM) Datasets appeared first on Analytics Vidhya.

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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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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation metrics for at-scale production guardrails.

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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

Join Travis Addair, CTO of Predibase, and Shreya Rajpal, Co-Founder and CEO at Guardrails AI, in this exclusive webinar to learn: How guardrails can be used to mitigate risks and enhance the safety and efficiency of LLMs, delving into specific techniques and advanced control mechanisms that enable developers to optimize model performance effectively (..)