Navigating AI Model Selection with Grigorij Dudnik: A Comprehensive Guide скачать в хорошем качестве

Navigating AI Model Selection with Grigorij Dudnik: A Comprehensive Guide

Grigorijs’s profile on Askapro: app.askapro.tech/expert?id=f861ab4f-6f74-42ea-9199-bc7ce801aff0&tags%5B0%5D=63d52844-8644-4d72-b555-a4d499488510 In this part of the interview with Grigorij, an AI developer, we discuss the critical decisions behind choosing the most appropriate AI models for specific tasks. This discussion explores the factors influencing the selection process, including privacy concerns, offline functionality, and cost-efficiency, alongside insights into the utilization of vector databases in AI applications. Key Insights: Understanding the rationale behind selecting GPT-4 for its versatility and ease of integration across numerous applications. The strategic use of open-source models for tasks requiring data privacy and offline capabilities, such as robotics. Insights into fine-tuning smaller, local models for specific tasks where they can outperform larger models like GPT-4. An exploration of vector databases and their role in enhancing AI model responses through efficient information retrieval. Timestamps: 00:00 - Introduction to the process of selecting AI models for specific tasks. 01:27 - Discussing the advantages of local models in robotics and offline applications. 03:01 - Application of local models in current and upcoming projects. 03:27 - Cost considerations in using AI models for high-volume applications. 04:19 - The vital role of vector databases in AI for efficient knowledge retrieval. About Grigorij Dudnik: Grigorij Dudnik is a seasoned AI developer with a passion for crafting solutions that bridge the gap between technology and practicality. His expertise spans a wide range of applications, from prompt engineering and AI wrappers that regulate a model’s responses to the development of autonomous agents capable of writing applications. Connect with Grigorij on Askapro for a consultation on AI applications development, AI integrations, utilising open-source LLMs, cost optimisation, and large language models fine-tuning. visit his profile on Askapro to schedule a meeting or ask a question: app.askapro.tech/expert?id=f861ab4f-6f74-42ea-9199-bc7ce801aff0&tags%5B0%5D=63d52844-8644-4d72-b555-a4d499488510 Share Your Thoughts: What challenges have you faced in selecting AI models for your projects? How do you see vector databases changing the landscape of AI applications? Join the discussion in the comments below and share your experiences and questions.