Online ili uživo, obuke za učenje sa jačanjem koje vodi instruktor, putem interaktivnih praktičnih vežbi demonstriraju kako da kreirate i razviate sistem za učenje sa jačanjem.
Obuke za učenje sa jačanjem dostupne su kao "online uživo" ili "uživo na licu mesta". Online uživo trening (takođe poznat kao "udaljeni uživo trening") realizuje se putem interaktivne udaljene radne površine. Trening uživo na licu mesta može se održati lokalno u prostorijama klijenta u Belgrade ili u korporativnim centrima za obuku NobleProg u Belgrade.
NobleProg -- Vaš lokalni provajder obuka
Green Heart Complex
Bulevar Milutina Milankovića 11b, Belgrade 11070, Belgrade, Serbia
Strategically located at Bulevar Milutina Milankovića 11b in Belgrade, Serbia, the Green Heart Complex stands as a prominent landmark in one of the country's most dynamic areas. This prestigious address places the complex within close proximity to key government buildings, cultural institutions, embassies, and major shopping centers, making it an ideal location for business and administrative activities.
Its prime position on Bulevar Milutina Milankovića offers excellent accessibility and visibility, ensuring convenient connections to the heart of Belgrade's commercial and residential districts. The complex itself serves as a vital hub, providing modern facilities and services to support a diverse range of professional and commercial needs.
From this strategic base, occupants and visitors benefit from proximity to Belgrade's vibrant urban life, including dining, entertainment, and transportation options. The Green Heart Complex represents a significant asset in the city's ongoing development, contributing to the efficiency and functionality of Belgrade's central business district.
This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate-level data scientists aiming to develop a comprehensive understanding and practical skills in both Large Language Models (LLMs) and Reinforcement Learning (RL).
By the conclusion of this training, participants will be able to:
Understand the components and functionality of transformer models.
Optimize and fine-tune LLMs for specific tasks and applications.
Understand the core principles and methodologies of reinforcement learning.
Learn how reinforcement learning techniques can enhance the performance of LLMs.
This live, instructor-led training in Belgrade (online or onsite) targets advanced machine learning engineers and AI researchers aiming to utilize RLHF for the fine-tuning of large AI models to achieve enhanced performance, safety, and alignment.
By the end of this training, participants will be able to:
Comprehend the theoretical underpinnings of RLHF and its significance in modern AI advancement.
Construct reward models based on human input to guide reinforcement learning cycles.
Refine large language models using RLHF techniques to align results with human expectations.
Apply best practices for scaling RLHF processes in production-grade AI environments.
This live, instructor-led training, available Belgrade (online or on-site), is tailored for advanced professionals seeking to deepen their expertise in reinforcement learning and its practical application in AI development using Google Colab.
By the conclusion of this training, participants will be able to:
Grasp the core concepts of reinforcement learning algorithms.
Implement reinforcement learning models using TensorFlow and OpenAI Gym.
Develop intelligent agents that learn through trial and error.
Optimize agents' performance using advanced techniques such as Q-learning and deep Q-networks (DQNs).
Train agents in simulated environments using OpenAI Gym.
Deploy reinforcement learning models for real-world applications.
Ova usmerena obuka u Belgrade pokriva teorijske osnove i praktičnu implementaciju dubokog jачeg učenja koristeći Python. Učesnici će izgraditi i obučavati DRL agente koristeći TensorFlow ili PyTorch, primenjujući ključne algoritme kao što su DQN i PPO za rešavanje kompleksnih stvarnih problema.
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