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Tech Talk: A practical discussion on implementing AI technologies into developer tools
Speaker: Tsavo Knott (Pieces)
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Abstract: Understand the complexities behind creating and bringing to market AI-enabled tools for developers, without resorting to the simple GPT-wrapper strategy. Here we walk through the evolution of Pieces for Developers, from saving code snippets to becoming a fully contextual and real-time workstream assistant. Discover the intricate workings of LoRA models, their critical role in AI-driven auto-enrichment, and the challenges in fine-tuning these models for practical applications. Learn about the groundbreaking integration of LLMs, operational both in cloud and local environments, and the hurdles in optimizing these models for efficiency and effectiveness across different devices. We'll also discuss the implementation of advanced OCR within developer tools, examining the balance between power and usability. The session will cover the extension of LLMs to broaden context windows, an important aspect in enhancing AI assistance for coding. This talk goes beyond theoretical exploration and addresses the real-world challenges of productionizing these sophisticated technologies on a budget. From ensuring seamless integration into developers' workflows to maintaining performance and reliability, we'll cover the journey of transforming these AI concepts into tangible tools.
Tech Talk: Cracking the AI Black Box: Strategies for Customer-centric Enterprise Excellence
Speaker: Quentin Reul (Wolters Kluwer)
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Abstract: The democratization of Generative AI is ushering in a new era of innovation for enterprises. Discover how you can harness this powerful technology to deliver unparalleled customer value and securing a formidable competitive advantage in today's competitive market. In this session, you will learn how to: 1) Identify high-impact customer needs with precision; 2) Harness the power of large language models to address specific customer needs effectively; and 3) Implement AI responsibly to build trust and foster strong customer relationships.
Whether you're at the early stages of your AI journey or looking to optimize existing initiatives, this session will provide you with actionable insights and strategies needed to leverage AI as a powerful catalyst for customer-driven enterprise success.
Tech Talk: A practical discussion on implementing AI technologies into developer tools
Speaker: Tsavo Knott (Pieces)
[ Ссылка ]
Abstract: Understand the complexities behind creating and bringing to market AI-enabled tools for developers, without resorting to the simple GPT-wrapper strategy. Here we walk through the evolution of Pieces for Developers, from saving code snippets to becoming a fully contextual and real-time workstream assistant. Discover the intricate workings of LoRA models, their critical role in AI-driven auto-enrichment, and the challenges in fine-tuning these models for practical applications. Learn about the groundbreaking integration of LLMs, operational both in cloud and local environments, and the hurdles in optimizing these models for efficiency and effectiveness across different devices. We'll also discuss the implementation of advanced OCR within developer tools, examining the balance between power and usability. The session will cover the extension of LLMs to broaden context windows, an important aspect in enhancing AI assistance for coding. This talk goes beyond theoretical exploration and addresses the real-world challenges of productionizing these sophisticated technologies on a budget. From ensuring seamless integration into developers' workflows to maintaining performance and reliability, we'll cover the journey of transforming these AI concepts into tangible tools.
Tech Talk: Cracking the AI Black Box: Strategies for Customer-centric Enterprise Excellence
Speaker: Quentin Reul (Wolters Kluwer)
[ Ссылка ]
Abstract: The democratization of Generative AI is ushering in a new era of innovation for enterprises. Discover how you can harness this powerful technology to deliver unparalleled customer value and securing a formidable competitive advantage in today's competitive market. In this session, you will learn how to: 1) Identify high-impact customer needs with precision; 2) Harness the power of large language models to address specific customer needs effectively; and 3) Implement AI responsibly to build trust and foster strong customer relationships.
Whether you're at the early stages of your AI journey or looking to optimize existing initiatives, this session will provide you with actionable insights and strategies needed to leverage AI as a powerful catalyst for customer-driven enterprise success.
