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  • Exploring the Boundaries of Chatbot Capabilities

    Exploring the Boundaries of Chatbot Capabilities

    かへしる

    Jacy Reese Anthis’ workshop at Cypher 2023, ‘Testing the Limits of Chatbots,’ delves into the evolving capabilities and challenges of AI, emphasizing the significance of prompt engineering and ethical considerations in AI development.

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  • Exploring Applications of LLMs and their Cost Dynamics

    Exploring Applications of LLMs and their Cost Dynamics

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    Abhishek Choudhary’s enlightening session at Cypher 2023 delved into the transformative power of Large Language Models (LLMs), exploring their applications, cost dynamics, and the critical role of Prompt Engineering in shaping the future of AI and NLP.

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  • Retrieval-Augmented Generation: A Live Demo

    Retrieval-Augmented Generation: A Live Demo

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    Explore the future of AI in enterprise with Dhruv Motwani’s insightful session on Retrieval-Augmented Generation at Cypher 2023, showcasing a live demo of RAG’s capabilities and its practical applications in the business world.

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  • Responsible Generative AI: Unveiling Risks, Challenges & Best Practices

    Responsible Generative AI: Unveiling Risks, Challenges & Best Practices

    かへしる

    Explore the transformative world of generative AI, its challenges, and ethical practices in the masterclass ‘Responsible Generative AI: Unveiling Risks, Challenges & Best Practices,’ a part of the AIM community’s ‘AI Forum For India’ initiative in collaboration with Nvidia.

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  • Why Organizations Should Choose ADaSci for AI Corporate Trainings: A Case Study of Genpact’s SkyDive Global Campus Academy

    Why Organizations Should Choose ADaSci for AI Corporate Trainings: A Case Study of Genpact’s SkyDive Global Campus Academy

    かへしる

    Elevate your organization’s competitive edge with specialized AI and data science corporate training programs, featuring hands-on practicality, industry experts, and measurable ROI.

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  • Document Q&A, Classification, and Summarization: Exploring Open Source (Langchain, VectorDB) and Proprietary Solutions (Azure)

    Document Q&A, Classification, and Summarization: Exploring Open Source (Langchain, VectorDB) and Proprietary Solutions (Azure)

    かへしる

    A comprehensive guide on Document Q&A, Classification, and Summarization offers a deep dive into the world of text analytics, from open-source solutions to enterprise-level implementations.

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  • The Future of Search Dynamics: A Deep Dive into Large Language Models and Vector Databases with Suvrat Bharadwaj and Chinmaya Kumar Jena

    The Future of Search Dynamics: A Deep Dive into Large Language Models and Vector Databases with Suvrat Bharadwaj and Chinmaya Kumar Jena

    かへしる

    Exploring the transformative potential of Large Language Models and Vector Databases in redefining search dynamics, as elucidated by Suvrat Bharadwaj and Chinmaya Kumar Jena at Cypher 2023.

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  • Deep Learning in Social Media Recommendation Systems: Insights from Pinterest’s Senior ML Engineer

    Deep Learning in Social Media Recommendation Systems: Insights from Pinterest’s Senior ML Engineer

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    In an era where data drives decisions, recommendation systems have become the cornerstone of user engagement on social media platforms, e-commerce sites, and streaming services. A recent video lecture by Aayush Mudgal, Senior ML Engineer at Pinterest, offers a deep dive into the transformative role of deep learning in recommendation systems. Hosted as part of…

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  • Safeguarding Data Privacy in LLM-Powered Generative AI: Top Concerns and Effective Mitigation Strategies

    Safeguarding Data Privacy in LLM-Powered Generative AI: Top Concerns and Effective Mitigation Strategies

    Vaibhav Kumar

    Top data privacy challenges associated with LLM-powered GenAI applications and strategies to mitigate these concerns effectively.

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  • The Strategic Advantage of Chartered Data Scientist™ Accreditation for Data Science Service Providers

    The Strategic Advantage of Chartered Data Scientist™ Accreditation for Data Science Service Providers

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    Chartered Data Scientist™ accreditation enhances credibility, ensures ethical standards, provides a competitive advantage, and offers a cost-effective talent development strategy for data science service providers.

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